СПОСОБ ОБНАРУЖЕНИЯ ЛИЦ НА ИЗОБРАЖЕНИИ С ПРИМЕНЕНИЕМ КАСКАДА КЛАССИФИКАТОРОВ

Изобретение относится к области обработки цифровых изображений, а более конкретно к нахождению произвольно ориентированных лиц на цифровых изображениях. Техническим результатом изобретения является повышение быстродействия и точности обрабатываемых данных при обнаружении лиц на изображении. Технический результат достигается благодаря тому, что в способе обнаружения лиц на изображении, включающем в себя применение каскада однородных классификаторов, каждый классификатор используют для разделения входного вектора на два класса «лицо», «нелицо», причем каждый классификатор характеризуется более высокой точностью классификации по сравнению с предыдущим классификатором в каскаде, выполняют поиск окружностей на входном изображении с помощью преобразования Хафа для окружностей, формируют набор фрагментов в областях изображения, где были обнаружены окружности, путем разделения областей на набор фрагментов одинакового размера, применяют каскад классификаторов к каждому фрагменту и определяют, содержит ...

КАЧЕСТВО ИЗОБРАЖЕНИЯ И ПРИЗНАКА, УЛУЧШЕНИЕ ИЗОБРАЖЕНИЯ И ВЫДЕЛЕНИЕ ПРИЗНАКОВ ДЛЯ РАСПОЗНАВАНИЯ ПО СОСУДАМ ГЛАЗА И ЛИЦАМ, И ОБЪЕДИНЕНИЕ ИНФОРМАЦИИ О СОСУДАХ ГЛАЗА С ИНФОРМАЦИЕЙ О ЛИЦАХ И/ИЛИ ЧАСТЯХ ЛИЦ ДЛЯ БИОМЕТРИЧЕСКИХ СИСТЕМ

System zum patientenspezifischen Modellieren von Blutfluss

System zum Bestimmen von kardiovaskulären Informationen für einen Patienten, wobei das System Folgendes umfasst: wenigstens ein Computersystem, das konfiguriert ist, um: patientenspezifische Daten bezüglich einer Geometrie einer anatomischen Struktur des Patienten zu empfangen, wobei die anatomische Struktur wenigstens einen Abschnitt einer Mehrzahl an Koronararterien, die von einer Aorta ausgehen, beinhaltet; basierend auf den patientenspezifischen Daten ein dreidimensionales Modell zu erzeugen, das einen ersten Abschnitt der anatomischen Struktur repräsentiert, wobei der erste Abschnitt der anatomischen Struktur wenigstens den Abschnitt der Mehrzahl an Koronararterien beinhaltet; wenigstens teilweise basierend auf einer Masse oder einem Volumen des Myokardgewebes ein physikbasiertes Modell bezüglich einer Blutflusseigenschaft im ersten Abschnitt der anatomischen Struktur zu erzeugen; und wenigstens teilweise basierend auf dem dreidimensionalen Modell und dem physikbasierten Modell eine ...

Fahrzeugumgebungsüberwachungsvorrichtung und Programm

Eine Fahrzeugumgebungsüberwachungsvorrichtung ist ausgerüstet mit: einem Bildabschnitt (2), der an einem Host-Fahrzeug montiert ist und eine Umgebung abbildet, die mindestens eine Straßenoberfläche in dem vorderen oder hinteren Bereich des Host-Fahrzeugs enthält; einen Bildverarbeitungsabschnitt (6), der ein virtuelles Koordinatentransformationsbild auf der Grundlage eines Originalbildes durch Unterziehen des Originalbildes einer Bildkorrektur unter Verwendung eines Parameters erzeugt, mit dem es möglich ist, eine Endkantenposition des Host-Fahrzeugs und die Horizontallinienposition in Bezug auf das Host-Fahrzeug zu berechnen; und einen Anzeigeabschnitt (4), der einen Abbildungsbildschirm auf einem vorbestimmten Anzeigebereich in dem Fahrzeuginsassenraum anzeigt. Ein Programm bewirkt, dass ein Computer, der mit dem Bildabschnitt (2) und dem Anzeigeabschnitt (4) verbunden ist, als Bildverarbeitungsabschnitt (6) dient.

Determining parking lot occupancy from digital camera images

Parking lot occupancy is determined from digital images and includes a set-up procedure that receives a layout of a parking lot 201and estimates parking space volume 202 for at least one viewing angle and determines probability that an observed pixel belongs to the parking space volume. One or more images frames of the parking lot are acquired 203 from at least one digital camera and pixels are classified 204 using a vehicle detector to determine a likelihood that a pixel belongs to a vehicle. The probability that a parking space is occupied 205 by a vehicle is computed based on a spatially varying membership probability density function and a likelihood of vehicle pixels within a region of interest. Parking lot vacancy is determined 206 by comparison of the computed probability that a parking space is occupied by a vehicle to a pre-determined threshold. Pixel classification may be performed by a support vector machine classifier that uses rotation invariant local binary patterns or a TextonBoost ...

System and method of material handling using one imaging device on the receiving vehicle to control the material distribution into the storage portion

Depth map generation

Depth maps are generated from two or more of images captured with a conventional digital camera from the same viewpoint using different configuration settings, which may be arbitrarily selected for each image. The configuration settings may include aperture and focus settings and/or other configuration settings capable of introducing blur into an image. The depth of a selected image patch is evaluated over a set of discrete depth hypotheses using a depth likelihood function modelled to analyze corresponding images patches convolved with blur kernels using a flat prior in the frequency domain. In this way, the depth likelihood function may be evaluated without first reconstructing an all-in-focus image. Blur kernels used in the depth likelihood function are identified from a mapping of depths and configuration settings to the blur kernels. This mapping is determined from calibration data for the digital camera used to capture the two or more images.

System and method of material handling using one imaging device on the receiving vehicle to control the material distribution into the storage portion

A single imaging device collects image data of a storage portion. A container module identifies a container perimeter of the storage portion in at least one of the collected image data. A spout module is adapted to identify a spout of the transferring vehicle in the collected image data. An arbiter determines whether to use the image data based on an evaluation of the intensity of pixel data or ambient light conditions. An alignment module is adapted to determine the relative position of the spout and the container perimeter and to generate command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a central or target zone of the container perimeter.

Optical character recognition utilizing hashed templates

Techniques are disclosed for performing optical character recognition (OCR) by identifying a template based on a hash of a document. One embodiment includes a method for identifying a template associated with an image. The method includes receiving a digital image, a portion of the image depicting a first document, and extracting the portion of the image. The method further includes scaling the portion of the image and generating a first hash from the scaled image. The method further includes comparing the first hash to a set of hashes, each corresponding to a template. The method further includes selecting a first template as corresponding to the first document based on comparing the first hash to the set of hashes and extracting one or more sections of the portion of the image based on the selected first template. The method further includes performing OCR on the extracted one or more sections.

Virtual white lines for indicating planned excavation sites on electronic images

Methods and apparatus for facilitating detection of a presence or an absence of at least one underground facility within a dig area. Source data representing one or more input images of a geographic area including the dig area is electronically received at a first user location, which may be remote from the dig area. The source data is processed so as to display at least a portion of the input image(s) on a display device at the first user location. One or more indicators are added to the displayed input image(s), via a user input device associated with the display device, to provide at least one indication of the dig area and thereby generate a marked-up digital image. In one example, the indicator(s) is/are added to the displayed input image(s) without acquiring geographic coordinates corresponding to the indicator(s).

System and method for leadwire location

A system and method for leadwire location may provide for recognition of the leadwire via analysis of a series of two-dimensional images that include representations of the leadwire, and/or determining an orientation of the leadwire with reference to a marker on the leadwire.

Identifying and measuring reticulocytes

Methods and systems for identifying reticulocytes in a blood sample deposited on a substrate include: illuminating the sample with incident light at two different wavelengths, obtaining a two-dimensional image of the sample corresponding to a first one of the wavelengths, and obtaining a two-dimensional image of the sample corresponding to a second one of the wavelengths; analyzing the images to identify a set of representative red blood cells; determining an area of each of the red blood cells in the set; determining a color value of each of the red blood cells in the set; and, for each one of the red blood cells in the set, identifying the red blood cell as a reticulocyte if the area of the red blood cell exceeds an area cutoff value and the color value of the red blood cell is less than a color cutoff value.

System and method for image registration

A system and method for providing processable data associated with anatomical images may provide a user interface including a pivot and stem tool via which to align multiple images, a flashlight bar for viewing portions of an overlaid image, and/or user- movable markers for establishing a location of one or more anatomical landmarks with regions of one or more images.

Method and system for determining treatments by modifying patient-specific geometrical models

A system for modifying a three-dimensional model based on one or more cardiovascular treatment options for a patient, the system comprising: at least one computer system configured for: creating a reduced order model representing at least a portion of the patient's heart or vasculature based on patient-specific data regarding a geometry of the patient's heart or vasculature; determining a treatment type for a condition in the patient's heart or vasculature; determining a vessel characteristic of a vessel in the portion of the patient's heart or vasculature; obtaining a stored reduced order model parameter of a stent or a bypass graft based on the determined treatment type and the determined vessel characteristic; modifying the reduced order model of the portion of the patient's heart or vasculature to include the obtained reduced order model parameter of the stent or bypass graft; and determining a blood flow rate or pressure within the portion of the patient's heart or vasculature based ...

System and method for atlas registration

A system and method for associating anatomically significant regions with regions of one or more images may include automatically modifying images of different modalities according to different correction algorithms, providing a user interface for identifying a plane within three-dimensional data, scaling atlas structures to fit an anatomical image according to identified landmarks, registering an atlas to such an image via a combination of registration algorithms, and/or registering an atlas to such an image using a feature extraction algorithm.

Image recognition system and method

An improved system and method for digital image classification is provided. A host computer having a processor is coupled to a memory storing thereon reference feature data. A graphics processing unit (GPU) having a processor is coupled to the host computer and is configured to obtain, from the host computer, feature data corresponding to the digital image; to access, from the memory, the one or more reference feature data; and to determine a semi-metric distance based on a Poisson-Binomial distribution between the feature data and the one or more reference feature data. The host computer is configured to classify the digital image using the determined semi-metric distance.

System and method of material handling using one or more imaging devices on the transferring vehicle to control the material distribution into the storage portion of the receiving vehicle

First imaging device collects first image data, whereas second imaging device collects second image data of a storage portion. A container identification module identifies a container perimeter of the storage portion in at least one of the collected first image data and the collected second image data. A spout identification module is adapted to identify a spout of the transferring vehicle in the collected image data. An image data evaluator determines whether to use the first image data, the second image data, or both based on an evaluation of the intensity of pixel data or ambient light conditions. An alignment module is adapted to determine the relative position of the spout and the container perimeter and to generate command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a central zone or a target zone of the container perimeter.

Method and system for patient-specific modeling of blood flow

C:\Users\kll\AppData\Local\Temp12713 IDAOBAFC.DOCX-22 12/2015 Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Method and system for patient-specific modeling of blood flow

Abstract A system for determining cardiovascular information for a patient, the system comprising: at least one computer system configured to: receive patient specific data regarding a geometry of an anatomical structure of the patient; create a three-dimensional model representing at least a portion of the anatomical structure of the patient based on the patient-specific data, the three-dimensional model representing at least one fluid flow inlet and at least one fluid flow outlet; create at least one boundary condition model representing fluid flow through at least one of the at least one inlet or the at least one outlet, based at least in part on modeling a condition of hyperemia; and determine first information regarding a blood flow characteristic within the anatomical structure of the patient based on the three dimensional model and the at least one boundary condition model. cCD Co co VC C C) C) f I co C, Loij 0~ u~ EtIt C3oI ...

COMPUTER IMPLEMENTED METHOD FOR SEGMENTING A BINARIZED DOCUMENT

Computer implemented method for segmenting a binarized document comprising the steps of: extracting a plurality of connected components from the binarized document and discriminating for at least one of the connected components whether said connected component is a text component based on a homogeneity level value, wherein the homogeneity level value is representative of the level of homogeneity within the local region of said connected component, wherein the local region comprises said connected component and at least one connected component adjacent to said connected component, wherein the homogeneity level value is based on at least one value representative of at least one image characteristic parameter determined for said connected component and on at least one value representative of the at least one image characteristic parameter determined for the at least one connected component adjacent to said connected component.

OPTICAL CHARACTER RECOGNITION UTILIZING HASHED TEMPLATES

Techniques are disclosed for performing optical character recognition (OCR) by identifying a template based on a hash of a document. One embodiment includes a method for identifying a template associated with an image. The method includes receiving a digital image, a portion of the image depicting a first document, and extracting the portion of the image. The method further includes scaling the portion of the image and generating a first hash from the scaled image. The method further includes comparing the first hash to a set of hashes, each corresponding to a template. The method further includes selecting a first template as corresponding to the first document based on comparing the first hash to the set of hashes and extracting one or more sections of the portion of the image based on the selected first template. The method further includes performing OCR on the extracted one or more sections.

LOW-POWER ALWAYS-ON FACE DETECTION, TRACKING, RECOGNITION AND/OR ANALYSIS USING EVENTS-BASED VISION SENSOR

Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends "events" (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.

PARTITIONING AN IMAGE

The invention is directed to a computer-implemented method for partitioning an image. The method comprises displaying (S10) an image that comprises a border; drawing (S20) a curve over the image; computing all closed areas delimited by the curve and the border of the image, each closed area being independent from the other computed closed areas and individually selectable.

METHOD AND SYSTEM FOR DETERMINING TREATMENTS BY MODIFYING PATIENT-SPECIFIC GEOMETRICAL MODELS

Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three- dimensional model representing a portion of the patient's heart based on patient- specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

IMAGE PROCESSING METHODS AND SYSTEMS FOR BARCODE AND/OR PRODUCT LABEL RECOGNITION

This disclosure provides an image processing method and system for recognizing barcodes and/or product labels. According to an exemplary embodiment, the method uses a multifaceted detection process that includes both image enhancement of a candidate barcode region and other product label information associated with a candidate barcode region to identify a product label, where the candidate barcode region includes a nonreadable barcode. According to one exemplary application, a store profile is generated based on the identifications of the product labels which are associated with a location of a product within a store.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM FOR DIVIDING IMAGE DATA INTO A FOREGROUND AREA AND A BACKGROUND AREA

An image processing apparatus is disclosed, including a modification part, a model creation part, and a division part. The modification part instructs modification of a portion of a foreground area or a background area which is erroneously divided as a result of dividing predetermined image data into the foreground area being an extraction target and the background area being an out-of-extraction target. The model creation part creates a foreground model of the foreground area and a background model of the background area which are modified, based on first pixel values of a predetermined line segment where the modification is instructed and second pixel values of the foreground area and the background area which are divided. The division part divides the image data into the foreground area and the background area by using the foreground model and the background model which are created by the model creation part.

For based on local binary mode facial features positioning method and apparatus

Method and apparatus for detecting pictures of suspected infringing products

METHOD FOR DETERMINING, IN A PICTURE, AT LEAST ONE OF AREA SUCCEPTIBLE IMAGES OF AT LEAST ONE FINGER OF AN INDIVIDUAL

DECISION DEVICE PROVIDED FOR DECIDE WHETHER A [...] IS TRUE OR FALSE

L'invention concerne un dispositif de décision (100) prévu pour décider si un œil (50) présentant une macula (53) et un axe optique (51) est vrai ou faux, ledit dispositif de décision (100) comportant : - des moyens d'éclairage (102) émettant vers l'œil (50) un flux infrarouge selon un axe d'entrée (106), - un moyen de capture infrarouge (104) prévu pour capturer une image de l'œil (50) selon un axe de sortie (110), l'axe d'entrée (106) et l'axe de sortie (110) étant alignés avec l'axe optique (51) tel que la macula (53) éclairée par les moyens d'éclairage (102) sous l'incidence de l'axe d'entrée (106) est vue par le moyen de capture (104), - des moyens de traitement (108) prévus pour détecter, sur une image capturée par le moyen de capture (104), si une zone périphérique représentative de l'iris (54) existe et si une zone centrale à l'intérieur de la zone périphérique et dont la couleur est représentative de l'existence de la macula (53) existe, et pour délivrer une information représentative ...

SEEK Of a TARGET IN a MULTISPECTRAL IMAGE

DETECTING NERVES WITHIN A SERIES OF ECHOGRAPHIC IMAGES

LENS DISTORTION CORRECTION DEVICE AND APPLICATION PROCESSOR HAVING SAME

An embodiment of the present invention relates to a lens distortion correction device which comprises: a distortion correction unit for correcting a distorted image to a undistorted image; and an image enhancement unit which uses a high frequency component of the distorted image to enhance the undistorted image. COPYRIGHT KIPO 2016 ...

DETECTING KEYPOINTS IN IMAGE DATA

텍스트 이미지 처리 방법 및 장치

... 텍스트 이미지 처리 방법 및 장치. 상기 텍스트 이미지 처리 방법은, 텍스트 이미지를 사전 처리하여 바이너리 이미지와 상기 바이너리 이미지에 포함되는 복수의 연결 영역을 획득하는 단계 (210); 볼록 껍질(convex hull) 알고리즘으로 상기 복수의 연결 영역 각각에 대응하는 볼록 껍질과 상기 볼록 껍질에 외접(circumscribe)하는 문자 영역을 획득하는 단계 (230); 상기 획득된 문자 영역에 수평-방향문자 분할(character segmentation)을 수행하여 상기 바이너리 이미지에 분포된 복수의 문자 블록을 획득하는 단계 (250); 및 상기 텍스트 이미지에 포함되는 블록을 획득하기 위해 상기 바이너리 이미지 내의 문자 블록의 높이에 기초하여 상기 문자 블록을 병합하는 단계를 포함한다. 상기 텍스트 이미지 처리 방법 및 장치는 문자 분할의 다용도성과 정확도를 향상시킬 수 있다.

얼굴 생체 내 검출 방법 및 장치

... 얼굴 검출 방법은 비디오 영상 시퀀스 취득, 비디오 영상 시퀀스에 대해 비디오 샷 경계 검출 프로세스를 수행하여, 비디오 영상 시퀀스 내에 샷 변화가 존재하는지 판단하여 제1 판정 결과 획득, 및 제1 판정 결과가 비디오 영상 시퀀스 내에 샷 변화가 존재함을 나타낼 때, 얼굴 검출 실패로 판단을 포함한다. 본 개시는 또한 비디오 영상 시퀀스를 취득하도록 구성되는 취득 유닛, 비디오 영상 시퀀스에 대해 비디오 샷 경계 검출 프로세스를 수행하여 비디오 영상 시퀀스 내에 샷 변화가 존재하는지 판단하여 제1 판정 결과를 획득하도록 구성되는 제1 검출 유닛, 및 제1 판정 결과가 비디오 영상 시퀀스 내에 샷 변화가 존재함을 나타낼 때, 얼굴 검출 실패로 판단하도록 구성되는 판단 유닛을 포함하는 얼굴 검출 장치를 제공한다.

FEATURE-AMOUNT CALCULATION APPARATUS, FEATURE-AMOUNT CALCULATION METHOD, AND PROGRAM

Disclosed is a feature-amount calculation apparatus, wherein an outline of an object such as a silhouette line of a person, or an important feature originating from changes in the image of the outline of the object and the surroundings thereof can be extracted with influence of background noise reduced. The feature-amount calculation apparatus (100), which is an apparatus for calculating the amount of feature of a target object from image data, is provided with: a feature-value calculation unit (110) that calculates an edge direction and an edge strength as feature values for each of the pixels of an inputted image data; a feature-amount calculation unit (120) that comprises an edge-direction-set calculation unit that calculates a set of edge directions as a feature amount among pixels, by combining edge directions of a plurality of pixels, and a correlation value calculation unit that calculates a correlation value between edge strengths of pixels subject to correlation value calculation ...

METHOD OF ESTABLISHING A FINAL SCORE OF SIMILARITY BETWEEN IMAGES

This method of establishing a final score of similarity between a digital image acquired and a pre-recorded digital image, comprises: a) the construction (42) on the basis of the image acquired of H maps Ji, of gradients calculated according to a respective set i of directions, b) for each map of gradients Ji, the calculation (52) of an intermediate score Si, of similarity between this map of gradients Ji, and a corresponding reference map Jiref, each intermediate score Si of similarity being a real number representing the degree of similitude between the compared maps, the reference map Jiref being a map of gradients calculated according to the same set i of directions as the map of gradients Ji, on the basis of the pre-recorded image, and c) the establishment (54) of a final score Sf of similarity between the image acquired and the pre-recorded image as a function of the H intermediate scores Si of similarity.

LOW-POWER ALWAYS-ON FACE DETECTION, TRACKING, RECOGNITION AND/OR ANALYSIS USING EVENTS-BASED VISION SENSOR

Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends “events” (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.

DEVICES, METHODS, AND SYSTEMS FOR MANAGING REPRESENTATIONS OF ENTITIES THROUGH USE OF PRIVACY BEACONS

Computationally implemented methods and systems include acquiring a block of encrypted data that corresponds to an image that has been encrypted through use of a unique device code associated with an image capture device configured to capture the image that includes a representation of a feature of an entity, obtaining a privacy metadata that corresponds to a detection of a privacy beacon in the image, said at least one image captured by the image capture device, said privacy beacon associated with the entity, and determining, at least partly based on the obtained privacy metadata, and partly based on a calculation related to the block of encrypted data that corresponds to the whether to allow one or more processes related to the encrypted data block. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

LENS DISTORTION CORRECTION DEVICE AND APPLICATION PROCESSOR HAVING THE SAME

A lens distortion correction device and an application processor having the same include a distortion correction unit configured to correct a distorted image into an undistorted image and an image enhancement unit configured to improve the undistorted image using a high-frequency component of the distorted image.

FEATURE EXTRACTION AND MATCHING FOR BIOMETRIC AUTHENTICATION

In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the Inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

BULLETED LISTS

A method for image processing by: obtaining an original image including a bulleted list; determining a list bounding box enclosing the bulleted list; determining line bounding boxes nested within the list bounding box enclosing lines of the bulleted list; identifying bullets based on the line bounding boxes; identifying indentations based on the bullets; and generating a bulleted list object for the bulleted list in the original image based on the indentations.

METHOD CONTROLLING IMAGE SENSOR PARAMETERS

A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results.

System and method for 3D reconstruction using multiple multi-channel cameras

A method for three-dimensional reconstruction of a scene includes: controlling a projection source to emit invisible light toward the scene; while the projection source is emitting light: controlling a first multi-channel image sensor to capture a first image, the first multi-channel image sensor including visible light detecting pixels and invisible light detecting pixels, the first image including a first invisible light channel and a first visible light channel; controlling a second multi-channel image sensor to capture a second image substantially simultaneously as the capture of the first image, the second multi-channel image sensor including visible light detecting pixels and invisible light detecting pixels, the second image including a second invisible light channel and a second visible light channel; performing stereo analysis of the first image and the second image in accordance with the invisible light channels and the visible light channels to generate a depth map.

Robot cleaner and control method thereof

A control method for a robot cleaner includes acquiring a plurality of images of surroundings during travel of the robot cleaner in a cleaning area, estimating a plurality of room-specific feature distributions according to a rule defined for each of a plurality of rooms, based on the images acquired while acquiring the plurality of images, acquiring an image of surroundings at a current position of the robot cleaner, obtaining a comparison reference group including a plurality of room feature distributions by applying the rule for each of the plurality of rooms to the image acquired while acquiring the image at the current position, comparing the obtained comparison reference group with the estimated room-specific feature distributions, and determining a room from the plurality of rooms having the robot cleaner currently located therein.

IMAGE PROCESSING AND PATIENT-SPECIFIC MODELING OF BLOOD FLOW

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

LOW-POWER IRIS SCAN INITIALIZATION

Apparatuses, methods, and systems are presented for sensing scene-based occurrences. Such an apparatus may comprise a vision sensor system comprising a first processing unit and dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels. The vision sensor system may be configured to send an event to be received by a second processing unit in response to processing of the one or more computed CV features by the first processing unit. The event may indicate possible presence of one or more irises within a scene.

Thumbnail generation for digital images

Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

METHOD AND SYSTEM OF CLASSIFYING MEDICAL IMAGES

A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.

METHOD OF DETECTING TILT OF IMAGE CAPTURING DIRECTION AND APPARATUS OF DETECTING TILT OF IMAGE CAPTURING DIRECTION

An image processing device includes an acquisition unit, an extraction unit, and a detection unit. The acquisition unit acquires image data for each of frame numbers from a drive recorder or the like. The extraction unit extracts a plurality of straight lines from the image data on the basis of drive recorder information. The detection unit detects a tilt of an image capturing direction of a camera according to a magnitude of an angle between a vertical axis direction of the image data and the extracted plurality of lines.

METHOD FOR DETERMINING A SIMILARITY VALUE BETWEEN A FIRST IMAGE AND A SECOND IMAGE

A method for determining a similarity value between a first image and a second image, comprises the steps of providing a first plurality of point pairs, wherein each pair of the first plurality of point pairs has two image points in the first image, determining, for each pair of the first plurality of point pairs, a sign parameter and a weight associated with the respective pair of the first plurality of point pairs according to image intensities of the two image points of the respective pair of the first plurality of point pairs, providing a second plurality of point pairs, wherein each pair of the second plurality of point pairs has two image points in the second image and is corresponding to one of the point pairs of the first plurality of point pairs, determining, for each pair of the second plurality of point pairs, a sign parameter associated with the respective pair of the second plurality of point pairs according to image intensities of the two image points of the respective pair ...

METHOD FOR GUIDING AN AIRCRAFT

The guiding method such as described correctly guides an aircraft on a platform of an airport, even in complex taxiing areas.

DISPLAYING CLUSTERS OF MEDIA ITEMS ON A MAP USING REPRESENTATIVE MEDIA ITEMS

Displaying media items on a map includes: determining, among a plurality of media items, a set of media items that belongs to a region on a map, including: selecting, among the plurality of media items, a representative media item of the set of media items; defining the region on the map, a size of the region being dependent at least in part on a size of a reduced resolution image associated with the representative media item; and determining one or more other media items whose corresponding one or more pixel locations on a display are within the region, and including the one or more other media items in the set of media items; and displaying the reduced resolution image of the representative media item in the region on the map to represent the set of media items.

METHOD AND IMAGE PROCESSING APPARATUS FOR IMAGE VISIBILITY RESTORATION USING FISHER'S LINEAR DISCRIMINANT BASED DUAL DARK CHANNEL PRIOR

A method and an image processing apparatus for image visibility restoration are provided. The method includes the following steps. After an incoming hazy image is received, each of the incoming pixels is classified as either belonging to a localized light region or a non-localized light region. The localized light region is partitioned into patches according to each patch size in associated with image sizes in a training data set. Localized light patches are determined based on a FLD model and a designated patch size is accordingly determined. Adaptive chromatic parameters and dual dark channel priors corresponding to the designated patch size and a small patch size are determined. The incoming hazy image is restored according to the adaptive chromatic parameters, atmospheric light and a transmission map determined based on the dual dark channel priors to produce and output a de-hazed image.

Computer implemented system and method for extracting and recognizing alphanumeric characters from traffic signs

A computer implemented system and method for extracting and recognizing alphanumeric characters from traffic signs is envisaged. A camera present in the system is adapted to be mounted on the vehicle for capturing images of traffic signs. The system then gives a region of interest (ROI) within the frame of the captured image, from where the alphanumeric characters are extracted and enhanced for recognition. For recognizing the enhanced alphanumeric characters, the image is converted to binary image and morphological thinning technique is applied on it. The space then obtained between two alphanumeric characters thus helps in extracting the characters and recognizing them independently from the captured image. For each extracted alphanumeric character is re-sized to a specified size and is recognized with the help of white pixels count. Once the alphanumeric characters are recognized they are displayed on a display.

Automatically determining the size of a blur kernel

A computer-implemented method and apparatus are described for deblurring an image. The method may include accessing the image that has at least one blurred region and, automatically, without user input, determining a first value for a first size for a blur kernel for the at least one blurred region. Thereafter, automatically, without user input, a second value for a second size for the blur kernel is determined for the at least one blurred region. A suggested size for the blur kernel is then determined based on the first value and the second value.

Poisson-binomial based image recognition method and system

An improved system and method for digital image classification is provided. A host computer having a processor is coupled to a memory storing thereon reference feature data. A graphics processing unit (GPU) having a processor is coupled to the host computer and is configured to obtain, from the host computer, feature data corresponding to the digital image; to access, from the memory, the one or more reference feature data; and to determine a semi-metric distance based on a Poisson-Binomial distribution between the feature data and the one or more reference feature data. The host computer is configured to classify the digital image using the determined semi-metric distance.

METHODS FOR STENT STRUT DETECTION AND RELATED MEASUREMENT AND DISPLAY USING OPTICAL COHERENCE TOMOGRAPHY

In one embodiment, the invention relates to a processor based method for generating positional and other information relating to a stent in the lumen of a vessel using a computer. The method includes the steps of generating an optical coherence image data set in response to an OCT scan of a sample containing at least one stent; and identifying at least one one-dimensional local cue in the image data set relating to the position of the stent.

Device and method for inserting advertisement by using frame clustering

The present invention is directed to a device and method for inserting an advertisement using frame clustering. According to the present invention, when an advertisement insertion region is set in at least one of the frames of a video, advertisement insertion target frames including advertisement insertion regions are searched for and clustered, and an advertisement is inserted for all the clustered frames in a uniform manner, thereby enabling the natural insertion of the advertisement.

Spherical lighting device with backlighting coronal ring

A method for capturing three-dimensional photographic lighting of a spherical lighting device is described. Calculation of boundaries of the spherical lighting device based on lighting properties of at least one light source in a set location of the spherical lighting device is performed. A mapping of multitude points of the spherical lighting device to three-dimensional vectors of at least one camera device using a logical grid is performed. A measurement of brightness of the logical grid of the spherical lighting device is performed. The method further comprises determining brightest grid point of the logical grid of the spherical lighting device, wherein the brightest grid point of the logical grid is measured within a region brightness of the spherical lighting device. The method further comprises calculating the region of brightness of the spherical lighting device based on the determined brightest grid point of the logical grid.

УСТРОЙСТВО ОБРАБОТКИ ИЗОБРАЖЕНИЙ И СПОСОБ УПРАВЛЕНИЯ УСТРОЙСТВОМ ОБРАБОТКИ ИЗОБРАЖЕНИЙ

Группа изобретений относится к медицинской технике, а именно к средствам обработки изображений в диагностике и лечении глазных болезней. Устройство содержит блок принятия решения, выполненный с возможностью принятия решения из вторых изображений в отношении по меньшей мере одного изображения, которое включает по меньшей мере одну область, которая не заснята в по меньшей мере одном изображении из первых изображений, и модуль генерации изображения, выполненный с возможностью генерации одного изображения путем использования по меньшей мере одного изображения из первых изображений, и принятия решения в отношении по меньшей мере одного изображения. Способ управления устройством обеспечивается работой устройства с использованием носителя данных, содержащего сохраненную на нем компьютерную программу. Использование изобретений позволяет расширить арсенал технических средств обработки изображений. 3 н. и 8 з.п. ф-лы, 14 ил.

УСТРОЙСТВО УПРАВЛЕНИЯ, СИСТЕМА ФОРМИРОВАНИЯ ИЗОБРАЖЕНИЙ, СПОСОБ УПРАВЛЕНИЯ И НОСИТЕЛЬ ЗАПИСИ

Изобретение относится к устройству формирования изображений, которое управляет диапазоном формирования изображений. Техническим результатом является обеспечение пользователю определения необходимого диапазона в пределах диапазона, в котором устройство формирования изображений может формировать изображения (например, необходимое расположение на панорамном изображении). Предложенное устройство содержит: блок управления отображением для управления блоком отображения для отображения части или всего изображения, отображаемого с помощью блока отображения, в первой области на экране отображения, причем упомянутое изображение указывает диапазон формирования изображений, в котором устройство формирования изображений может формировать изображения с помощью изменения диапазона формирования изображений; блок управления изменениями для изменения расположения или размера изображения, которое должно отображаться в первой области, с помощью блока управления отображением, на изображении, указывающем диапазон ...

ОБНАРУЖЕНИЕ СВОБОДНОГО ПРОСТРАНСТВА С ИСПОЛЬЗОВАНИЕМ МОНОКУЛЯРНОЙ КАМЕРЫ И ГЛУБОКОГО ОБУЧЕНИЯ

РЕГУЛИРОВАНИЕ ГЛУБИНЫ В СИГНАЛЕ ТРЕХМЕРНОГО ИЗОБРАЖЕНИЯ

... 1. Система (100) для обработки сигнала трехмерного изображения, причем сигнал трехмерного изображения содержит сигнал двумерного изображения и двумерный вспомогательный сигнал, причем двумерный вспомогательный сигнал представляет собой двумерный связанный с глубиной сигнал для предоставления возможности трехмерного рендеринга сигнала двумерного изображения на трехмерном дисплее (200), при этом система содержит:- сигнальный вход (120) для получения сигнала (122) двумерного изображения и двумерного вспомогательного сигнала (122);- подсистему (180) пользовательского интерфейса для представления возможности пользователю устанавливать определяемую пользователем двумерную область (182) в сигнале двумерного изображения, причем определяемая пользователем двумерная область содержит наложение;- модуль (140) задания областей для, на основе определяемой пользователем двумерной области, задания двумерной вспомогательной области (142) в двумерном вспомогательном сигнале, причем двумерная вспомогательная ...

МУЛЬТИСТРУКТУРНЫЙ АТЛАС И/ИЛИ ЕГО ИСПОЛЬЗОВАНИЕ

... 1. Процессор (106) данных изображения, содержащий:процессор (114) структурных данных изображения, который использует мультиструктурный атлас для сегментирования области, представляющей интерес, из структурных данных изображения, которые включают в себя ткань, представляющую интерес, и который сегментирует ткань, представляющую интерес, из области, представляющей интерес, причем структурой является грудная клетка, и тканью, представляющей интерес, является доля легкого, и мультиструктурным атласом является атлас грудной клетки/доли легкого, который включает в себя отображение, которое отображает одно или более ребер в положение границы доли легкого, и отображение включает в себя область доли легкого, представляющую интерес, в форме, по меньшей мере, одного из плотного множества точек на поверхности легкого или 3D листа через легкое, посредством атласа грудной клетки/доли легкого; ипроцессор (116) функциональных данных изображения, который идентифицирует ткань, представляющую интерес, в функциональных ...

Technologie zur Merkmalserkennung und -verfolgung

Aspekte der vorliegenden Offenbarung beziehen sich auf Technologien (Systeme, Geräte, Verfahren usw.) zum Durchführen von Merkmalserkennung und/oder Merkmalsverfolgung auf Grundlage von Bilddaten. In Ausführungsformen enthalten oder nutzen Technologien einen SLAM-Hardwarebeschleuniger (SLAM Hardware Accelerator; SWA), der eine Merkmalserkennungskomponente und optional eine Merkmalsverfolgungskomponente enthält. Die Merkmalserkennungskomponente kann dafür konfiguriert sein, Merkmalserkennung anhand von Arbeitsdaten, die von einem Gleitfenster umschlossen sind, durchzuführen. Die Merkmalsverfolgungskomponente ist konfiguriert, Merkmalsverfolgungsoperationen zum Verfolgen von einem oder mehreren erkannten Merkmal/en durchzuführen, beispielsweise unter Verwendung normierter Kreuzkorrelation (Normalized Cross Correlation; NCC) oder einem anderen Verfahren.

System zum patientenspezifischen Modellieren von Blutfluss

System zum Ermöglichen der Bewertung einer Koronararterie eines Patienten basierend auf einem berechneten fraktionellen Flussreservewert, wobei das System Folgendes umfasst: wenigstens ein Computersystem, das konfiguriert ist, um: auf einem digitalen Anzeigegerät ein dreidimensionales Modell wenigstens eines Teils mehrerer Koronararterien, die von einer Aorta des Patienten abzweigen, anzuzeigen; auf dem Anzeigegerät eine erste fraktionelle Flussreserve anzuzeigen, die vom Computersystem für wenigstens eine der Koronararterien in dem dreidimensionalen Modell berechnet wurde; eine Eingabe hinsichtlich eines Behandlungsplans für die wenigstens eine der Koronararterien zu empfangen, wobei der Behandlungsplan ein Erweitern eines durch die wenigstens eine der Koronararterien definierten Lumens beinhaltet; und eine zweite fraktionelle Flussreserve für die wenigstens eine der Koronararterien zu berechnen und auf dem Anzeigegerät anzuzeigen, wobei das Berechnen der zweiten fraktionellen Flussreserve ...

GEFÜHRTE PRÜFUNG EINER EINGEBAUTEN KOMPONENTE UNTER VERWENDUNG EINES MOBILEN PRÜFGERÄTS

Ein Verfahren zur Prüfung einer eingebauten Komponente beinhaltet den Empfang einer Identität und einer ausgewählten Position der Komponente in Form eines Eingangssignals über ein mobiles Prüfgerät mit einer Steuerung, einer digitalen Kamera und einem Bildschirm, das mithilfe der digitalen Kamera ein dynamisches Pixelbild der ausgewählten Position in Echtzeit erfasst. Das Verfahren beinhaltet die Anzeige des Bildes in Echtzeit über den Bildschirm, die Projektion virtueller Hilfslinien auf dem Bild, die den Kanten der eingebauten Komponente entsprechen, und die Identifizierung der Komponente über die Steuerung, wenn das Bild an den projizierten Hilfslinien ausgerichtet wird. Ein vorbestimmter Bereich der eingebauten Komponente wird nach der Erkennung der eingebauten Komponente identifiziert, eine vorbestimmte Merkmalsabmessung wird im vorbestimmten Bereich gemessenen und ein Ausgangssignal mit einer Statusanzeige wird erzeugt, die anzeigt, ob die gemessene Merkmalsabmessung in einem kalibrierten ...

Non-touch optical detection of vital signs

A means for motion amplification to communicate biological vital signs comprises: a cropper for receiving at least two images and cropping them, a skin pixel identifier coupled to the cropper for identifying pixel values representative of skin, a spatial bandpass filter coupled to the skin pixel identifier, a regional facial clustering module coupled to the bandpass filter to apply spatial clustering to the output of the filter, a temporal bandpass filter coupled to the output of the clustering module, a temporal variation identifier to identify temporal variations in the output of the filter and a vital sign generator which generates at least on vital sign from the temporal variation. Also disclosed is a non-touch thermometer senses temperature from a digital infrared sensor is described. A microprocessor is operably coupled to a camera from which patient vital signs are determined. A digital signal representing a temperature without conversion from analog is transmitted from the digital ...

Rendering tile-based graphics using primitive lists

A scene 50 to be rendered is divided into plural individual sub-regions or tiles 51. The individual sub-regions 51 are also grouped into differing groups of sets of plural sub-regions. There is a top level layer comprising a set 54 of 8 x 8 sub-regions which encompasses the entire scene area 50. There is then a group of four 4 x 4 sets of sub-regions 53, then a group of sixteen 2 x 2 sets of sub-regions 52, and finally a layer comprising the 64 single sub-regions 51. A primitive list building unit takes each primitive 80 in turn, determines a location for that primitive, compares the primitive's location with the locations of the sub-regions 51 and the locations of the sets of sub-regions 52, 53 and 54, and allocates the primitive to respective primitive lists for both the sub-regions and sets of sub-regions accordingly.

Method of and apparatus for processing graphics

Systems and methods for diagnosing strokes

Method and apparatus for tracking an object

Determination of position from images and associated camera positions

System and method of material handling using one or more imaging devices on the transferring vehicle to control the material distribution into the storage

Systems and methods for diagnosing strokes

The invention relates to systems and methods for diagnosing strokes. In particular, systems and methods for acquiring timely patient status information are described that enable a physician to make diagnostic and treatment decisions relating to ischemic and hemorrhagic strokes. The systems and methods enable the efficient and quantitative assessment of arterial collaterals within the brain for aiding these decisions in the case of ischemic strokes. In the case of hemorrhagic strokes, the systems and methods are effective in determining if there is a leak and what is the rate of leaking.

Sampling for feature detection

Verfahren zur optischen Erkennung von Zeichen

The invention relates to the optical detection of symbols (4) displayed on a display (2), wherein image data which contains a representation of the display (2) is obtained, comprising the steps: detection (29, 30) of a display area of the display (2) in the image data obtained; preparation (32) of the image data representing the display area detected; performance of an optical symbol detection (34, 35) by using the prepared image data; and storage of the symbol detected during the optical symbol detection (34, 35) in a memory (13).

Methods for stent strut detection and related measurement and display using optical coherence tomography

Method and system for patient-specific modeling of blood flow

C:\Users\kIl\AppData\Locl\Temp12713_1 DAOBAFC.DOCX-22 12 2015 Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Method and system for patient-specific modeling of blood flow

C:\Users\kll\AppData\Local\Temp12713 IDAOBAFC.DOCX-22 12/2015 Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

System and method for atlas registration

A system and method for associating anatomically significant regions with regions of one or more images may include automatically modifying images of different modalities according to different correction algorithms, providing a user interface for identifying a plane within three-dimensional data, scaling atlas structures to fit an anatomical image according to identified landmarks, registering an atlas to such an image via a combination of registration algorithms, and/or registering an atlas to such an image using a feature extraction algorithm.

System and method for leadwire location

A system and method for leadwire location may provide for recognition of the leadwire via analysis of a series of two-dimensional images that include representations of the leadwire, and/or determining an orientation of the leadwire with reference to a marker on the leadwire.

VIRTUAL WHITE LINES FOR INDICATING PLANNED EXCAVATION SITES ON ELECTRONIC IMAGES

Methods and apparatus for facilitating detection of a presence or an absence of at least one underground facility within a dig area. Source data representing one or more input images of a geographic area including the dig area is electronically received at a first user location, which may be remote from the dig area. The source data is processed so as to display at least a portion of the input image(s) on a display device at the first user location. One or more indicators are added to the displayed input image(s), via a user input device associated with the display device, to provide at least one indication of the dig area and thereby generate a marked-up digital image. In one example, the indicator(s) is/are added to the displayed input image(s) without acquiring geographic coordinates corresponding to the indicator(s).

METHOD AND SYSTEM FOR PATIENT-SPECIFIC MODELING OF BLOOD FLOW

SYSTEM AND METHOD FOR AUTOMATED DETECTION OF LUNG NODULES IN MEDICAL IMAGES

A system and method for automatically segmenting a computed tomography (CT) image of a patient's lung. The method includes the steps of segmenting the CT image to acquire one or more lung regions, intensity thresholding the lung regions to generate a mask region comprising high-intensity regions corresponding to anatomical structures within the lung regions, computing a Euclidean distance map of the mask region, performing watershed segmentation of the Euclidean distance map to generate one or more sub-regions, identifying a seed point for each sub region, growing candidate regions from the seed point of each sub-region, and classifying one or more candidate regions as a lung nodule based on one or more geometric features of the candidate regions.

APPARATUS AND METHOD FOR DIGITAL MICROSCOPY IMAGING

A microscopy imaging system and method for rendering a mosaic representation of an object from a series of image frames of the object are disclosed. A current image frame is processed to determine its relative location or position within the mosaic representation based on relative displacement of the current image from one or more keyframes. Once the current image frame's position has been determined, it is rendered along with its neighboring keyframes to provide the mosaic representation of the object.

IDENTIFYING AND MEASURING RETICULOCYTES

Methods and systems for identifying reticulocytes in a blood sample deposited on a substrate include: illuminating the sample with incident light at two different wavelengths, obtaining a two-dimensional image of the sample corresponding to a first one of the wavelengths, and obtaining a two-dimensional image of the sample corresponding to a second one of the wavelengths; analyzing the images to identify a set of representative red blood cells; determining an area of each of the red blood cells in the set; determining a color value of each of the red blood cells in the set; and, for each one of the red blood cells in the set, identifying the red blood cell as a reticulocyte if the area of the red blood cell exceeds an area cutoff value and the color value of the red blood cell is less than a color cutoff value.

APPARATUS AND METHOD FOR DIGITAL MICROSCOPY IMAGING

A microscopy imaging system and method for rendering a mosaic representation of an object from a series of image frames of the object are disclosed. A current image frame is processed to determine its relative location or position within the mosaic representation based on relative displacement of the current image from one or more keyframes. Once the current image frame's position has been determined, it is rendered along with its neighboring keyframes to provide the mosaic representation of the object.

Method and system for patient-specific modeling of blood flow

Apparatus and method for sampling images

Automated detection and avoidance system

MEMS fast focusing camera module

Object attribute identification method, device and system

Image processing apparatus and control method of the Image processing apparatus

METHOD FOR RETRIEVING A SIMILAR IMAGE IN A LIBRARY OF IMAGES FROM A REFERENCE PICTURE

L'invention concerne un procédé d'extraction de points caractéristiques d'une image, le procédé comprenant des étapes consistant à : extraire des points caractéristiques d'une première image, générer (S4) pour chaque point caractéristique un descripteur (DSC) à plusieurs composantes décrivant une région d'image (FPRG) autour du point caractéristique, et comparer (S5) deux à deux les descripteurs de la première image, les points caractéristiques dont les descripteurs ont entre eux une proximité supérieure à un seuil d'ambiguïté, étant considérés ambigus.

METHOD AND SYSTEM FOR IMAGE PROCESSING TO DETERMINE BLOOD FLOW

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model. 1184-. (canceled)185. A method for processing images to determine cardiovascular information , comprising the steps of:receiving image data including a plurality of coronary arteries originating from an aorta;processing the image data to generate three-dimensional shape models of the coronary arteries;simulating a blood flow for the generated three-dimensional shape models of the coronary arteries; anddetermining a fractional flow reserve (FFR) of the coronary arteries based on a blood flow simulation result, wherein in the step of simulating the blood flow, a computational fluid dynamics model is applied to the three-dimensional shape models of the coronary arteries, a lumped parameter model is combined with the computational fluid dynamics model, and a simplified coronary artery circulation model including coronary arteries, capillaries of the coronary arteries and coronary veins is used as the lumped parameter model.186. The method of claim 185 , wherein claim 185 , when simulating the blood flow claim 185 , when applying the computational fluid dynamics model to the three-dimensional shape models of the coronary arteries claim 185 , using an aorta blood pressure pattern as an inlet boundary condition.187. The method of claim 185 , wherein simulating the blood flow comprises determining lengths of centerlines of the three- ...

OBJECT DETECTION DEVICE AND OBJECT DETECTION METHOD

An object detection device includes: a binary difference image generation unit for generating a binary difference image C by binarizing a difference value between a background image B, which is an image as a reference for the absence of a detection target object in the detection area, and a detection target image F which is an image as a detection target to detect a detection target object in the detection area; a binary second derivative image generation unit for generating a binary second derivative image D by binarizing second derivatives of the detection target image F or of a smoothed image F′, obtained by smoothing the detection target image F; and an object detection unit for detecting the detection target object based on a logical product of the binary difference image C and the binary second derivative image D. 1. An object detection device comprising:a binary difference image generation unit for generating a binary difference image by binarizing a difference value, with a predetermined threshold for the difference value, between: a background image which is an image showing a temperature distribution in a detection area and which is an image as a reference for the absence of a detection target object in the detection area; and a detection target image which is an image showing a temperature distribution in the detection area and which is an image as a detection target to detect a detection target object in the detection area;a binary second derivative image generation unit for generating a binary second derivative image by binarizing second derivatives of the detection target image or of a smoothed image, obtained by smoothing the detection target image, with a predetermined threshold for the derivative; andan object detection unit for detecting the detection target object based on a logical product of the binary difference image and the binary second derivative image.2. The object detection device according to claim 1 ,which detects the detection target ...

METHOD AND SYSTEM FOR AUGMENTED IMAGING IN OPEN TREATMENT USING MULTISPECTRAL INFORMATION

Disclosed herein is a method of generating augmented images of tissue of a patient undergoing open treatment, in particular open surgery, wherein each augmented image associates at least one tissue parameter with a region or pixel of the image of the tissue, said method comprising the following steps: estimating a spectral composition of light illuminating a region of interest of the tissue, obtaining one or more multispectral images of the region of interest, applying a machine learning based regressor or classifier to the one or more multispectral images, or an image derived from said multispectral image, to thereby derive one or more tissue parameters associated with image regions or pixels of the corresponding multispectral image, wherein said regressor or classifier has been trained to predict the one or more tissue parameters from a multispectral image under a given spectral composition of illumination, wherein the regressor or classifier employed is made to match the estimated spectral composition of light illuminating said region of interest of the tissue. 1. A method of generating one or more augmented images of tissue of a patient undergoing open treatment wherein each augmented image associates at least one tissue parameter with a region or pixel of the image of the tissue , said method comprising:estimating a spectral composition of light illuminating a region of interest of the tissue,obtaining one or more multispectral images of the region of interest,applying a machine learning based regressor or classifier to the one or more multispectral images, or an image derived from said multispectral image, to thereby derive one or more tissue parameters associated with image regions or pixels of the corresponding multispectral image, wherein said regressor or classifier has been trained to predict the one or more tissue parameters from a multispectral image under a given spectral composition of illumination, selecting the regressor or classifier among a ...

Robust Eye Tracking for Scanning Laser Ophthalmoscope

A system, apparatus, and method of obtaining an image of a fundus. Acquiring a reference image of the fundus at a first point in time. Acquiring a target image of the fundus at a second point in time. The target imaging area may overlap with the reference imaging area. An area of the target imaging area may be less than an area of the reference imaging area. Estimating movement of the fundus may be based upon at least the target image and the reference image. Acquiring a narrow field image of the fundus. An area of the narrow field imaging area may be less than the area of the target imaging area. A position of the narrow imaging area on the fundus may be adjusted based on the estimated movement of the fundus.

System and Method for Efficient Recognition of Handwritten Characters in Documents

A system and computer-implemented method for efficient recognition of one or more handwritten characters in one or more documents is provided. The system comprises an image input module configured to receive the one or more documents as one or more images. The system further comprises a snippet extraction module to extract one or more fields of information from the one or more received images. Furthermore, the system comprises a segmentation module to segment the one or more extracted fields of information into one or more segments. Also, the system comprises a feature extraction module configured to extract one or more handwritten characters from each of the one or more segments. In addition, the system comprises a character recognition module configured to recognize the one or more extracted handwritten characters. The system further comprises a language processing module configured to detect and correct errors in the one or more recognized characters. 1. A system for efficient recognition of one or more handwritten characters in one or more documents , the system comprising:an image input module configured to receive the one or more documents as one or more images;a snippet extraction module configured to extract one or more fields of information from the one or more received images;a segmentation module configured to segment the one or more extracted fields of information into one or more segments;a feature extraction module configured to extract one or more handwritten characters from each of the one or more segments;a character recognition module configured to recognize the one or more extracted handwritten characters; and analyzing content in the vicinity of each of the one or more recognized characters;', 'predicting one or more characters for each of the one or more recognized characters in the extracted fields of information based on the analyzed content;', 'comparing each of the one or more recognized characters with the one or more predicted characters ...

Display Device, Vehicle Controller, Transmitter, And Travelling Assistance System

A display device includes: an information acquisition unit communicating with an outside to acquire absence region information identifying an absence region in which an obstacle is presumed to be absent; and a display unit displaying the absence region, which is acquired by the information acquisition unit, in a state of superimposing the absence region on a map. A vehicle controller includes: an information acquisition unit communicating with an outside to acquire absence region information identifying an absence region in which an obstacle is presumed to be absent; and a vehicle control unit performing vehicle control based on the absence region. A transmitter includes: a sensor detecting an obstacle; an information creation unit creating absence region information identifying an absence region based on a result detected by the sensor; and a transmission unit transmitting the absence region information. In addition, a travelling assistance system includes the display device and the transmitter. 1. A display device comprising:an information acquisition unit that communicates with an outside to acquire absence region information identifying an absence region in which an obstacle is presumed to be absent; anda display unit that displays the absence region, which is acquired by the information acquisition unit, in a state of superimposing the absence region on a map.2. The display device according to claim 1 , wherein:the absence region information includes a positional accuracy of the absence region; andthe display unit selects and displays an area, where a probability of the area being the absence region is equal to or higher than a threshold value, in the absence region based on the positional accuracy.3. The display device according to claim 1 , further comprising:a prediction unit that predicts the absence region subsequent to a moment at which the absence region information is created, based on a positional change of the absence region as time elapses,wherein ...

DETERMINATION OF NEUROPSYCHIATRIC THERAPY MECHANISMS OF ACTION

A computer implemented method, apparatus, and computer program product of determining mechanisms of action for therapies. A first set of brain scans for each subject in a plurality of subjects generated at a first time period and a second set of brain scans for each subject generated at a second time period are received. Each subject is diagnosed with a given condition and received a given therapy. A set of changes in the set of brain scans is identified for the each subject based on a comparison of a first set of regions of interest in the first set of scans for each subject with a second set of regions of interest in the second set of scans for each subject. A set of typical changes attributable to the given therapy is identified. A mechanism of action for the given therapy is generated based on the set of typical changes. 1. A computer implemented method of assessing neuroimaging and medical data to determine mechanisms of action for neuropsychiatric therapies , the computer implemented method comprising:receiving, at a processor via a network connection, neuroimaging data of a first set of human brain scans for each human subject in a plurality of human subjects diagnosed with a given neuropsychiatric condition generated at a first time period prior to beginning implementation of a neuropsychiatric therapy to treat the given neuropsychiatric condition and a second set of human brain scans for the each human subject in the plurality of human subjects diagnosed with the given neuropsychiatric condition generated at a second time period of a given amount of time after beginning the implementation of the neuropsychiatric therapy to treat the given neuropsychiatric condition, wherein a set of one or more scanning devices generate the neuroimaging data of the first set of human brain scans and the second set of human brain scans, and wherein the neuropsychiatric therapy is received by the each human subject in the plurality of human subjects diagnosed with the given ...

Tracking using multilevel representations

Tracking object in frames of video data, including receiving a first tracking position associated with the target object in a first frame of a video sequence; identifying, for a second frame of the video sequence, a plurality of representation levels and at least one node for each representation level; determining, by a processor, a second tracking position in the second frame by estimating motion of the target object in the second frame between the first frame and the second frame; determining, at each representation level by the processor, a value for each node based on a conditional property of the node in the second frame; and adjusting, by the processor, the second tracking position based on the values determined for each of the nodes and interactions between at least some of the nodes at different representation levels.

SYSTEM FOR ACCURATE 3D MODELING OF GEMSTONES

A computerized system, kit and method for producing an accurate 3D-Model of a gemstone by obtaining an original 3D-model of an external surface of the gemstone; imaging at least one selected junction with only portions of its associated facets and edges disposed adjacent the junction, the location of the junction being determined based on information obtained at least partially by using the original 3D model; analyzing results of the imaging to obtain information regarding details of the gemstone at the junction; and using the information for producing an accurate 3D-model of said external surface of the gemstone, which is more accurate than the original 3-D model. 150-. (canceled)51. A method for producing a 3D-Model of an external surface of a gemstone , said method comprising:a) taking a plurality of images of the gemstone and using the plurality of images for generating an original 3D-model of an external surface of said gemstone including facets, edges abounding said facets, and junctions each constituting an area of meeting of at least three said edges associated with at least two facets;b) using the original 3D model generated in step a) to obtain information, based on which location of one or more selected junctions is determined, and subsequently imaging an area of each such selected junction with only portions of associated facets thereof and edges disposed adjacent said selected junction, said imaging being performed under illumination conditions different from those, at which said plurality of images were taken and providing such contrast between adjacent facets as to allow to distinguish an edge therebetween;c) analyzing results of said imaging to obtain information regarding the area imaged in step b); andd) using the information obtained in step c) for producing an improved 3D-model of said external surface of the gemstone, which is more accurate than the original 3-D model.52. The method according to claim 51 , wherein the gemstone has a planned cut ...

SYSTEM AND METHOD FOR ROBUST MOTION DETECTION

Method and system for detecting objects of interest in a camera monitored area are disclosed. Statistical analysis of block feature data, particularly Sobel edge and spatial high frequency responses is used to model the background of the scene and to segregate foreground objects from the background. This technique provides a robust motion detection scheme prone to catching genuine motions and immune against false alarms. 1. A method for detecting salient objects in a sequence of video frames captured from a scene , each frame comprising a plurality of pixels grouped in a plurality of image blocks , said method comprising:(a) receiving pixel data and block feature data for each of the plurality of image blocks, the block feature data being at least one of Sobel edge and spatial high frequency response values for each pixel averaged over the block;(b) classifying the blocks as background or foreground in a current frame based on temporal profile of the block feature data;(c) identifying objects as a plurality of blobs, wherein each blob comprises a plurality of connected foreground blocks in the current frame;(d) grouping the objects as one of: (i) new, (ii) persistent and (iii) recurring based on the number of foreground blocks and tracking count of the blobs;(e) discarding the recurring objects.2. The method of claim 1 , wherein distribution of the at least one feature data monitored for a period of time claim 1 , is represented in a histogram.3. The method of claim 2 , wherein a block is classified as background if the normalized distance of the block feature value from the mean of the histogram is smaller than a threshold or as foreground if larger.4. The method of claim 1 , wherein a background map is generated for the current frame using the background blocks.5. The method of claim 4 , where background of the scene is dynamically modeled using the background map over a plurality of frames.6. The method of claim 5 , wherein the background model is used for inter- ...

GRAPHICS PROCESSING SYSTEM FOR DETERMINING WHETHER TO STORE VARYING VARIABLES INTO VARYING BUFFER BASED AT LEAST PARTLY ON PRIMITIVE SIZE AND RELATED GRAPHICS PROCESSING METHOD THEREOF

A graphics processing system includes a decision logic and a varying buffer control circuit. The decision logic sets a control signal by checking at least one criterion, wherein the at least one criterion includes a first criterion, and a checking result of the first criterion depends on a size of a primitive. The varying buffer control circuit refers to the control signal to determine whether to store varying variables of the primitive into a varying buffer. 1. A graphics processing system comprising:a decision logic, configured to set a control signal by checking at least one criterion, wherein the at least one criterion includes a first criterion, and a checking result of the first criterion depends on a size of a primitive; anda varying buffer control circuit, configured to refer to the control signal to determine whether to store varying variables of the primitive into a varying buffer.2. The graphics processing system of claim 1 , wherein a screen space is divided into a plurality of sub-regions; and the decision logic finds a smallest sub-region based rectangular encompassing the primitive claim 1 , and calculates a number of valid sub-regions covered by the smallest sub-region based rectangular to estimate the size of the primitive.3. The graphics processing system of claim 2 , wherein the graphics processing system is a tile-based rendering (TBR) system; the decision logic generates the checking result of the first criterion by comparing the number of valid sub-regions covered by the smallest sub-region based rectangular with a predetermined threshold; and when the checking result of the first criterion indicates that the number of valid sub-regions covered by the smallest sub-region based rectangular is larger than the predetermined threshold claim 2 , the decision logic sets the control signal for allowing the varying buffer control circuit to store the varying variables of the primitive into the varying buffer.4. The graphics processing system of claim 1 ...

ARCHITECTURES AND METHODS FOR CREATING AND REPRESENTING TIME-DEPENDENT IMAGERY

Aspects of the technology pertain to geographical image processing of time-dependent imagery. Various assets acquired at different times are stored and processing according to acquisition date in order to generate one or more image tiles for a geographical region of interest. The different image tiles are sorted based on asset acquisition date. Multiple image tiles for the same region of interest may be available. In response to a user request for imagery as of a certain date, one or more image tiles associated with assets from prior to that date are used to generate a time-based geographical image for the user. 1. A processing system comprising:memory configured to store imagery information corresponding to time-based image tiles, each time-based image tile representing a portion of one or more image assets for a respective geographic location at a particular resolution and time of acquisition;an interface configured to receive user input identifying a geographic area of interest and one or more times of interest for the geographic area of interest; and receive, via the interface, user input selecting a time-based imagery display, the time-based imagery display indicating the geographic area of interest;', 'select, in accordance with the received one or more times of interest, different points in time for which the geographic area of interest has one or more of the time-based image tiles available; and', 'generate one or more maps for presentation on a display of a user device, wherein different ones of the one or more maps show the geographic area of interest at the selected different points in time., 'one or more processing devices operatively coupled to the memory and the interface, the one or more processing devices configured to2. The processing system of claim 1 , wherein the one or more processing devices are configured to select the different points in time by preparing a set of times for which blended time-based image tiles are available for the geographic ...

Drug inspection device

Embodiments of the present invention provide a high accuracy medicament inspection device and system to inspect medicaments enclosed in a package with a printing area. The medicament inspection device implements a medicament information detection process that includes: a medicament candidate area extraction step extracting a dark colored area in a back side illuminated image as a medicament candidate area A (assumed presence of medicament); a print candidate area extraction step extracting an area containing the print on the package based on a front side illuminated image as a print candidate area B; a print area identification step specifying an area corresponding to the print contained in the print candidate area B based on the brightness distribution of the back side illuminated image as a print area C; and a medicament area identification step identifying a medicament area X by subtracting the print area C from the medicament candidate area A.

DETERMINATION OF MYOCARDIAL SCAR USING VELOCITY SPECTRAL MAP

A system and method for determining regions of a heart affected by a scar. An imaging dataset is acquired of a portion of a subject including the heart and the imaging dataset is processed to identify a motion parameter of the heart. The motion parameter of the heart is mapped on a spectral scale based on the motion parameter over time to identify low velocity regions of the heart. A report is generated indicating the low velocity regions of the heart affected by scar. 1. A system for determining regions of a heart affected by a scar , the system comprising:a memory having stored thereon an imaging dataset acquired from a portion of a subject including the heart;a processor having access to the memory and the imaging dataset stored thereon and configured to process the imaging dataset to identify a motion parameter and map a spectral scale based on the motion parameter over time to identify low velocity regions of the heart; anda display coupled to the processor and configured to display the low velocity regions of the heart relative to a series of images.2. The system as recited in wherein the processor is further configured to determine a wall thickness of the heart within the series of images at each low velocity region of the heart.3. The system as recited in wherein the processor is further configured to determine the low velocity regions of the heart within the series of images having the wall thicknesses below a pre-determined threshold.4. The system as recited in wherein the wall thickness is defined with respect to boundaries of a endocardium and a epicardium.5. The system as recited in wherein the processor is further configured to analyze the boundaries of the endocardium and the epicardium throughout a cardiac cycle of the low velocity regions of the heart.6. The system as recited in wherein the motion parameter includes velocity and the processor is configured to determine the velocity using a non-rigid registration based algorithm to track a voxel-to- ...

METHOD OF AND APPARATUS FOR PROCESSING GRAPHICS

A scene to be rendered is divided into plural individual sub-regions or tiles. The individual sub-regions are also grouped into differing groups of sets of plural sub-regions. There is a top level layer comprising a set of 8×8 sub-regions which encompasses the entire scene area. There is then a group of four 4×4 sets of sub-regions, then a group of sixteen 2×2 sets of sub-regions, and finally a layer comprising the 64 single sub-regions. A primitive list building processor takes each primitive in turn, determines a location for that primitive, compares the primitive's location with the locations of the sub-regions and the locations of the sets of sub-regions, and allocates the primitive to respective primitive lists for the sub-regions and sets of sub-regions accordingly. 1. An apparatus for sorting graphics primitives for rendering in a graphics processing system in which a scene to be rendered is divided into a plurality of sub-regions for rendering , each sub-region including a respective area of the scene to be rendered , the apparatus comprising:at least one processor configured to prepare a set of plural first lists of primitives, each first list of primitives in the set of first lists of primitives being exclusive to a respective single sub-region of the scene and listing primitives for rendering for that single sub-region of the scene;wherein the at least one processor is further configured to prepare a set of plural second lists of primitives, the set of plural second lists of primitives being in addition to the set of plural first lists of primitives, and each second list of primitives in the set of second lists of primitives being a list of primitives to be used for a respective set of at least two sub-regions of the scene in common and listing primitives for rendering for that set of at least two sub-regions of the scene; andwherein:the at least one processor prepares the set of first primitive lists and the set of second primitive lists by, for each ...

METHOD FOR LOCALIZATION OF BONE MARROW WHITE BLOOD CELLS BASED ON SATURATION CLUSTERING

A saturation clustering-based method for positioning bone marrow white blood cells: first, pre-processing a bone marrow white blood cell image to eliminate partial noise points and simultaneously smooth the image; using K-means clustering to cluster saturation channels of the bone marrow white blood cell image, and select the type of the white blood cells according to a decision tree algorithm; next, eliminating irrelevant areas in a binary image of the white blood cells by means of a morphology processing algorithm, and simultaneously filling in point holes in the white blood cells; and finally, positioning the white blood cells. The present method is simple and effective, and is suitable for a wide range of applications compared to existing threshold-based algorithms, while rendering a final result more accurate by integrating the decision tree algorithm. 1. A method for locating bone marrow white blood cells , comprising the steps of:(1) median filtering a bone marrow white blood cell image to remove some noise;(2) color-converting the median-filtered bone marrow white blood cell image from an RGB (red, green and blue) channel to an HSV (color, saturation, brightness) channel;(3) applying a K-means algorithm to an S-saturation channel, dividing the color-converted image into three parts, and selecting a first part or a first part and a second part to obtain a white blood cell area;(4) calculating average values (H1, H2) of an H channel in the first part and the second part obtained in step (3), and calculating the area ratio of the first part and the second part according to mean points (S1, S2) of the first part and the second part;(5) performing a statistical analysis on multiple images to identify first parts and second parts where white blood cells are included, and recording the values of H1−H2, S1−S2, and area ratios of the identified first parts and the second parts;(6) according to the recorded results in step (5), applying a decision tree algorithm to ...

METHOD AND APPARATUS FOR ON-BOARD SOFTWARE SELECTION OF BANDS OF A HYPERSPECTRAL SENSOR BASED ON SIMULATED SPECTRAL REPRESENTATION OF THE REGION OF INTEREST

A system and method for surveying a region of interest with a mobile platform having a sensor having a plurality of narrow spectral bands spanning a contiguous frequency space is disclosed. In one embodiment, the method comprises generating a simulated spectral representation of a region of interest, identifying at least one of the plurality of materials as a material of interest within the region of interest, identifying other of the plurality of materials not identified as a material of interest as background materials within the region of interest, sensing, with the sensor, spectral data in the region of interest in the plurality of narrow spectral bands, selecting and transmitting only the spectral data of the one of more of the plurality of spectral bands of the sensor according to the simulated spectral representation of the material of interest. 1. A method of surveying a region of interest with a mobile platform having a sensor having a plurality of narrow spectral bands spanning a contiguous frequency space , comprising: 'a plurality of geospatial portions at least partially disposed in the region of interest, each geospatial portion having fused spectral characteristics of a plurality of materials disposed in the respective geospatial portion;', '(a) generating a simulated spectral representation of a region of interest, the simulated representation comprising(b) identifying at least one of the plurality of materials as a material of interest within the region of interest;(c) identifying other of the plurality of materials not identified as a material of interest as background materials within the region of interest;(d) sensing, with the sensor, spectral data in the region of interest in the plurality of narrow spectral bands;(e) selecting the spectral data of the one of more of the plurality of spectral bands of the sensor according to the simulated spectral representation of the material of interest and the simulated representation of the background ...

SPECULAR LIGHT SHADOW REMOVAL FOR IMAGE DE-NOISING

Specular light shadow removal is described for use in image de-noising. In one example a method includes placing a window on an image, determining a cumulative distribution function for the window, determining a destination histogram for the window, determining a cumulative distribution function for the destination histogram, replacing the intensity of a pixel with the smallest index for which the histogram distribution for the pixel is greater than the window distribution, repeating determining a cumulative distribution function, a destination histogram, and a cumulative distribution function and replacing the intensity for a plurality of windows of the image, and de-noising the image after repeating by applying a median filter to the image. 1. A method comprising:placing a window on an image;determining a cumulative distribution function for the window;determining a destination histogram for the window;determining a cumulative distribution function for the destination histogram;replacing the intensity of a pixel with the smallest index for which the histogram distribution for the pixel is greater than the window distribution;repeating determining a cumulative distribution function, a destination histogram, and a cumulative distribution function and replacing the intensity for a plurality of windows of the image; andde-noising the image after repeating by applying a median filter to the image.2. The method of claim 1 , wherein the histogram is linear.3. The method of claim 2 , wherein the linear histogram has a negative slope for a lower half of possible input values and a positive slope for a higher half of possible input values.4. The method of claim 1 , wherein the destination histogram has a neighborhood around the pixel.5. The method of claim 1 , wherein de-noising comprises applying a non-linear function to the image.6. The method of claim 1 , wherein de-noising comprises generating a pilot signal before replacing the intensity of the pixel and applying the ...

TRAFFIC-COUNTING SYSTEM AND METHOD THEREOF

Traffic-counting methods and apparatus are disclosed. The methods may include, in a view of traffic comprising moving objects, identifying first and second regions of interest (ROIs). The methods may also include obtaining first and second image data respectively representing the first and second ROIs. The methods may also include analyzing the first and second image data over time. The methods may further include, based on the analyses of the first and second image data, counting the moving objects and determining moving directions of the moving objects. 1. A traffic-counting method , comprising:in a view of traffic comprising moving objects, identifying first and second regions of interest (ROIs);obtaining first and second image data respectively representing the first and second ROIs;analyzing the first and second image data over time; and counting the moving objects; and', 'determining moving directions of the moving objects., 'based on the analyses of the first and second image data2. The method of claim 1 , wherein the first and second ROIs correspond to different portions of an area where the traffic occurs.3. The method of claim 1 , wherein identifying the first and second ROIs further comprises:setting sizes of the first and second ROIs based on volume of the traffic.4. The method of claim 1 , wherein:the analyzing comprises comparing, over time, a value of a property of the first ROI with a value of the property of the second ROI; andthe counting and determining comprise counting the moving objects and determining the moving directions of the moving objects, based on a result of the comparison.5. The method of claim 4 , wherein the property comprises at least one of:a brightness of the respective ROI; ora color of the respective ROI.6. The method of claim 4 , further comprising:detecting that a first foreground begins to appear in the first ROI;when detecting that a second foreground begins to appear in the second ROI within a first amount of time after ...

AUTOMATED SELECTION OF SUBJECTIVELY BEST IMAGE FRAMES FROM BURST CAPTURED IMAGE SEQUENCES

A “Best of Burst Selector,” or “BoB Selector,” automatically selects a subjectively best image from a single set of images of a scene captured in a burst or continuous capture mode, captured as a video sequence, or captured as multiple images of the scene over any arbitrary period of time and any arbitrary timing between images. This set of images is referred to as a burst set. Selection of the subjectively best image is achieved in real-time by applying a machine-learned model to the burst set. The machine-learned model of the BoB Selector is trained to select one or more subjectively best images from the burst set in a way that closely emulates human selection based on subjective subtleties of human preferences. Images automatically selected by the BoB Selector are presented to a user or saved for further processing. 1. A computer-implemented process , comprising:receiving an arbitrary burst set comprising a plurality of images of a scene captured via an imaging device;receiving a machine-learned predictive best of burst model;the machine-learned predictive best of burst model automatically generated from a combination of features extracted from a plurality of training burst sets, each training burst set comprising a plurality of images of a scene, and corresponding human selections of a single subjective favorite image from each training burst set;applying the machine-learned predictive best of burst model to rank each of the images in the arbitrary burst set in terms of a predicted subjective goodness level; andoutputting a highest ranked one of the images of the arbitrary burst set as a predicted subjectively best image.2. The computer-implemented process of claim 1 , wherein applying the machine-learned predictive best of burst model to rank each of the images in the arbitrary burst set further comprises:extracting a plurality of features from each of the images of the arbitrary burst set; andapplying the machine-learned predictive best of burst model to the ...

METHOD, DEVICE AND SYSTEM FOR PROCESSING IMAGE TAGGING INFORMATION

The present disclosure provides a method, a device and a system for processing image tagging information. The method includes the following. A captured image and a capturing position are acquired from a terminal. Object recognition is applied to the captured image to determine a first object presented by the captured image. A first target image presenting the first object is searched for among one or more historical images associated with the capturing position. When the first target image is searched for, it is determined that the first object is duplicated with tagging information of an electronic map. When the first target image is not searched for, a corresponding position of the first object on the electronic map is tagged. 1. A method for processing image tagging information , comprising:acquiring a captured image and a capturing position from a terminal;applying object recognition to the captured image, to determine a first object presented by the captured image;searching for a first target image presenting the first object among one or more historical images associated to the capturing position;determining that the first object is duplicated with tagging information on an electronic map in response to that the first target image is searched for; andtagging a corresponding position of the first object on the electronic map according to the capturing position in response to that the first target image is not searched for.2. The method of claim 1 , wherein claim 1 , after the first target image is searched for claim 1 , the method further comprises:extracting a regional image presenting the first object from the captured image; andwhen there is a difference between the regional image presenting the first object and the first target image, replacing the first target image with the regional image presenting the first object.3. The method of claim 1 , wherein claim 1 , after the first target image is not searched for claim 1 , the method further comprises: ...

Cylindrical Panorama

A method for generating a panoramic image is disclosed. The method comprises simultaneously capturing images from multiple camera sensors aligned horizontally along an arc and having an overlapping field of view; performing a cylindrical projection to project the captured images from the multiple camera sensors to a cylindrical images; and aligning overlapping regions of the cylindrical images corresponding to the overlapping field of view based on an absolute difference of luminance, wherein the cylindrical projection is performed by adjusting a radius for the cylindrical projection, wherein the radius is adjusted based on a scale factor and wherein the scale factor is calculated based on a rigid transform and wherein the scale factor is iteratively calculated for two sensors from the multiple camera sensors. 1. A method for generating a panoramic image , comprising:capturing images simultaneously from each of multiple camera sensors aligned horizontally along an arc and having an overlapping field of view;performing a cylindrical projection to project each of the captured images from the multiple camera sensors to cylindrical images; andaligning overlapping regions of the cylindrical images corresponding to the overlapping field of view based on absolute difference of luminance, wherein the cylindrical projection is performed by adjusting a radius for the cylindrical projection, wherein the radius is adjusted based on a scale factor and wherein the scale factor is calculated based on a rigid transform, and wherein the scale factor is iteratively calculated for two sensors from the multiple camera sensors.2. The method of claim 1 , wherein aligning the overlapping regions and adjusting the radius is performed as an integrated step.3. The method of claim 2 , wherein said integrated step is part of an iterated calibration process.4. The method of claim 3 , wherein a correction for lens distortion and the cylindrical projection is combined as a single reverse address ...

APPARATUS HAVING A DIGITAL INFRARED SENSOR

An apparatus that senses temperature from a digital infrared sensor is described. A digital signal representing a temperature without conversion from analog is transmitted from the digital infrared sensor received by a microprocessor and converted to body core temperature by the microprocessor. 1. A device comprising: a microprocessor;', 'a battery that is operably coupled to the microprocessor;', 'a display device that is operably coupled to the microprocessor;', 'a first digital interface that is operably coupled to the microprocessor;, 'a first circuit board including a second digital interface, the second digital interface being that is operably coupled to the first digital interface; and', 'a digital infrared sensor that is operable to receive an infrared signal, the digital infrared sensor also being operably coupled to the second digital interface, the digital infrared sensor having ports that provide digital readout signals that are representative of the infrared signal that is received by the digital infrared sensor,, 'a second circuit board includingwherein the microprocessor is operable to receive from the ports of the digital infrared sensor the digital readout signals that are representative of the infrared signal and the microprocessor is operable to determine a temperature from the digital readout signals that are representative of the infrared signal, andwherein no analog-to-digital converter is operably coupled between the digital infrared sensor and the microprocessor.2. The device of wherein the display device further comprises:a green traffic light operable to indicate that the temperature is good;an amber traffic light operable to indicate that the temperature is low; anda red traffic light operable to indicate that the temperature is high.3. The device of further comprising:the digital infrared sensor having no analog sensor readout ports.4. The device of further comprising:a camera that is operably coupled to the microprocessor and providing ...

METHOD AND SYSTEM FOR DETERMINIG TREATMENTS BY MODIFYING PATIENT-SPECIFIC GEOMETRICAL MODELS

Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options. 128-. (canceled)29. A method for planning treatment for arterial stenotic lesions by processing patient-specific images of a patient , comprising:identifying a set of stenotic lesions in a patient's coronary arteries from medical image data of the patient;generating a plurality of treatment options for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented;calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option; anddetermining an optimum treatment option from the plurality of treatment options based on the predicted hemodynamic metrics for the set of stenotic lesions calculated for each of the plurality of treatment options, and based on a number of stents in the stenting configuration corresponding to each of the plurality of treatment options.30. The ...

METHOD AND SYSTEM FOR PATIENT-SPECIFIC MODELING OF BLOOD FLOW

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model. 1184-. (canceled)185. A method for vascular assessment comprising:receiving a plurality of 2D angiographic images of a portion of a vasculature of a subject, and processing said images to produce a stenotic model over the vasculature, said stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature;obtaining a flow characteristic of the stenotic model; andcalculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.186. The method according to claim 185 , wherein said measurements of the vasculature are at one or more locations along a centerline of at least one branch of the vasculature.187. The method according to claim 185 , wherein said flow characteristic of said stenotic model comprises resistance to fluid flow.188. The method according to claim 187 , further comprising identifying in said first stenotic model a stenosed vessel and a downstream portion of said stenosed vessel claim 187 , and calculating said resistance to fluid flow in said downstream portion;wherein said index is calculated based on a volume of said downstream portion, and on a contribution of said stenosed vessel to said resistance to fluid flow.189. The method according to claim 185 , wherein said flow characteristic of said stenotic model ...

Method and system for reducing localized artifacts in imaging data

A method and system for reducing localized artifacts in imaging data, such as motion artifacts and bone streak artifacts, are provided. The method includes segmenting the imaging data to identify one or more suspect regions in the imaging data near which localized artifacts are expected to occur, defining an artifact-containing region of interest in the imaging data around each suspect region, and applying a local bias field within the artifact-containing regions to correct for the localized artifacts.

TOOTH MOVEMENT MEASUREMENT BY AUTOMATIC IMPRESSION MATCHING

The present invention relates to systems and methods for detecting deviations from an orthodontic treatment plan. One method includes receiving a tracking model, performing a matching step between individual teeth in a plan model and the tracking model, comparing the tracking model with the plan model, and detecting one or more positional differences. 1. A system for performing an alignment between digital models of a patient's teeth for improved detection of deviations from an orthodontic treatment plan , the system comprising:at least one processor; and ["obtain a first digital model of the patient's teeth in a first arrangement and a second digital model of the patient's teeth in a second arrangement,", 'detect, in each of the first and second digital models, a partial region beyond one or more tooth crowns based on a polygon formed from points on one or more teeth, and', 'perform an alignment between the first and second digital models using the partial regions such that one or more stationary elements of each of the first and second digital models are aligned with one another., 'memory comprising instructions that, when executed by the at least one processor, cause the system to2. The system of claim 1 , wherein the instructions claim 1 , when executed by the at least one processor claim 1 , further cause the system to detect one or more positional differences between the first and second arrangements of the patient's teeth.3. The system of claim 1 , wherein the first arrangement comprises an actual arrangement of the patient's teeth after the orthodontic treatment plan has begun for the patient and the second arrangement comprises a pre-determined planned arrangement of the patient's teeth.4. The system of claim 3 , wherein the first digital model comprises a non-segmented model of the patient's teeth in the actual arrangement and the second digital model comprises a previously segmented model of the patient's teeth.5. The system of claim 1 , wherein the ...

DYNAMIC IMAGE RECOGNITION MODEL UPDATES

Aspects of the subject disclosure may include, for example, receiving first image data for a first image from an electronic device, the first image data including first information associated with a first object identified by the electronic device as being in the first image. Second image data for a second image is received from the electronic device subsequent to receiving the first image data. The second image data includes second information associated with a second object identified by the electronic device as being in the second image. Location information is determined based on the first information and the second information and sent to the electronic device. Other embodiments are disclosed. 1. A non-transitory , machine-readable medium , comprising executable instructions that , when executed by a processing system of a mobile device including a processor , facilitate performance of operations , the operations comprising:receiving first image data for a first image from an electronic device, the first image data including first information associated with a first object identified by the electronic device as being in the first image;receiving second image data for a second image from the electronic device subsequent to receiving the first image data, the second image data including second information associated with a second object identified by the electronic device as being in the second image;determining location information based on the first information and the second information; andsending the location information to the electronic device.2. The non-transitory claim 1 , machine-readable storage medium of claim 1 , wherein the operations further comprise:determining image capture instructions for the second image; andsending the image capture instructions to the electronic device.3. The non-transitory claim 2 , machine-readable storage medium of claim 2 , wherein the image capture instructions enable the electronic device to prompt a user of the ...

METHOD CONTROLLING IMAGE SENSOR PARAMETERS

A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results. 120-. (canceled)21. An image sensor control system comprising:a first camera having a first characteristic information including a first field-of view, a first focal length, a first resolution, and a first pixel pitch, the first camera being configured to generate a first image;a second camera having a second characteristic information including a second field-of view different from the first field-of view, a second focal length different from the first focal length, a second resolution different from the first resolution, and a second pixel pitch different from the first pixel pitch, the second camera being configured to generate a second image; anda controller configured to extract a first feature values from the first image and a second feature values from the second image, and to generate a third image different from the first and second images.22. The image sensor control system of claim 21 , wherein the controller is configured to control parameters of at least one of the first camera and the second camera based on at least one of the first and second feature values.23. The image sensor control system of claim 21 , wherein the parameters include at least one of an analog gain and an exposure time.24. The image sensor control system of claim 21 , wherein the controller is configured to:generate a first corrected image by correcting the first image based on the first characteristic information and a second corrected image by correcting the ...

INFORMATION PROCESSING DEVICE, COMMUNICATION COUNTERPART DECISION METHOD AND STORAGE MEDIUM

An information processing device includes an imaging unit, a storage unit that stores face images of at least two persons, including an owner of the information processing device, in association with a communication device owned by each of the at least two persons, an identification unit that identifies, based on a first group of face images and a second group of face images, a person associated with a face image detected from an image including face images of a plurality of persons imaged by the imaging unit, the first group of face images includes the face image of each person detected from the image imaged by the imaging unit, and the second group of face images includes the faces stored in the storage unit, and a decision unit that decides a person as a receiver from the identified persons excluding the owner. 1. An information processing device comprising:an imaging unit;a storage unit configured to store a registered face image of an owner of the information processing device in association with the information processing device, and to store a face image of each of at least one person excluding the owner in association with the communication device owned by each of the at least one person;an identification unit configured to detect face images of a plurality of persons from an image imaged by the imaging unit and to identify, with reference to the registered face images stored in the storage unit, the person corresponding to the detected face image; anda decision unit configured to decide, if the owner is an identified person, a person owning a communication device that is to be a communication counterpart as a receiver from identified persons identified by the identification unit, wherein the owner is excluded from being determined a receiver.2. The information processing device according to claim 1 , further comprising a distance data acquisition unit configured to acquire a distance from the imaging unit to the plurality of persons included in the image ...

System And Method Of Material Handling Using One Or More Imaging Devices On The Transferring Vehicle And On The Receiving Vehicle To Control The Material Distribution Into The Storage Portion Of The Receiving Vehicle

First imaging device collects first image data, whereas second imaging device collects second image data of a storage portion. A container identification module identifies a container perimeter of the storage portion in at least one of the collected first image data and the collected second image data. A spout identification module is adapted to identify a spout of the transferring vehicle in the collected image data. An image data evaluator determines whether to use the first image data, the second image data, or both based on an evaluation of the intensity of pixel data or ambient light conditions. An alignment module is adapted to determine the relative position of the spout and the container perimeter and to generate command data to the propelled portion to steer the storage portion in cooperative alignment such that the spout is aligned within a central zone or a target zone of the container perimeter. 1. A method for facilitating the transfer of material from a transferring vehicle having a material distribution end to a receiving vehicle having a bin to the store transferred material , the method comprising the steps of:a. identifying and locating the bin;b. detecting a representation of the fill level or volumetric distribution of the material in the bin;c. aligning the material distribution end over a current target area of the bin requiring the material;d. determining subsequent target areas of the bin that require material based on the representation of the fill level or volumetric distribution of the material in the bin;e. transferring the material from the transferring vehicle to the current target area of the bin of the receiving vehicle;f. detecting when the current target area of the bin is filled with the material;g. repeating steps c-f until the subsequent target areas of the bin are filled; andh. terminating the transfer of the material from the transferring vehicle to the receiving vehicle.2. The method according to claim 1 , wherein the ...

METHOD AND APPARATUS FOR MEASURING AN ULTRASONIC IMAGE

The present invention relates to a method and apparatus for measuring an ultrasonic image. The method comprises: a measuring template loading step: loading a measuring template according to a received instruction; and a measuring template displaying step: displaying a selected measuring template at a designated position on the ultrasonic image. 1. A method for measuring an ultrasonic image , comprising:a measuring template loading step: loading a measuring template according to a received instruction; anda measuring template displaying step: displaying a selected measuring template at a designated position on said ultrasonic image.2. The method according to claim 1 , wherein said ultrasonic image is a live ultrasonic image.3. The method according to claim 1 , further comprising: a measuring template generating step: generating said measuring template according to clinical experience data of a measured object on the ultrasonic image where said measuring template is applied and storing said measuring template.4. The method according to claim 3 , wherein said measuring template generating step further comprises:generating a length measuring template according to said clinical experience data;generating an area measuring template according to said clinical experience data; andgenerating an angle measuring template according to said clinical experience data.5. The method according to claim 4 , wherein said length measuring template contains straight-line segments which contain length information and midpoint position information.6. The method according to claim 4 , wherein said area measuring template contains an enclosed plane figure.7. The method according to claim 6 , wherein said area measuring template contains at least one circle.8. The method according to claim 6 , wherein said area measuring template contains a plurality of concentric circles.9. The method according to claim 1 , further comprising:a measuring template moving step: shifting and/or rotating said ...

ELECTRONIC APPARATUS, METHOD AND STORAGE MEDIUM

According to one embodiment, an electronic apparatus includes a circuitry. The circuitry is configured to input data of an image including a plurality of ruled lines separated by intervals and a plurality of characters. The circuitry is configured to detect a first pair and a second pair of reference ruled lines out of the ruled lines. The circuitry is configured to execute a process for determining the handwritten characters falling within the gap between the first pair of reference ruled lines as one structure, when the characters included in the image fall within a gap between the first pair of reference ruled lines. 1. An electronic apparatus comprising: input data of an image including a plurality of ruled lines separated by intervals and a plurality of characters;', 'detect a first pair and a second pair of reference ruled lines out of the ruled lines;', 'execute a process for determining the handwritten characters falling within the gap between the first pair of reference ruled lines as one structure, when the characters included in the image fall within a gap between the first pair of reference ruled lines; and', 'execute a process for determining a first part of the characters as one structure and a second part of the characters as one structure, when the first part of the plurality of the characters included in the image fall within a gap between the first pair of reference ruled lines and the second part of the plurality of the characters included in the image goes beyond the first pair of reference ruled lines and fall within a gap between the second pair of reference ruled lines., 'circuitry configured to2. The electronic apparatus of claim 1 , whereinthe circuitry is configured to execute a process for obtaining a character recognition result of the handwritten characters in the structure.3. The electronic apparatus of claim 1 , whereinthe circuitry is further configured to determine the first pair and the second pair of reference ruled lines based on ...

METHOD FOR ACCURATELY GEOLOCATING AN IMAGE SENSOR INSTALLED ON BOARD AN AIRCRAFT

A method for geolocating an image sensor having an LoS and installed on board an aircraft. The geographical position of the sensor and the orientation of its LoS being approximate, it comprises: a step of creating an opportune landmark comprising the following substeps: an operator locating, on a screen for displaying acquired images, a stationary element on the ground, the axis of a telemeter being indicated in these images by means of a reticle the direction of which represents the LoS; the operator moving the LoS in order to place the reticle on this stationary element; tracking of this stationary element; estimating the approximate geographical position of this stationary element; searching in a terrain DB for the location corresponding to a zone centered on the stationary element; displaying an image of the terrain of this location, the operator locating the stationary element; and the operator pointing to this stationary element in the displayed terrain image, the geographical coordinates pointed to being retrieved from the terrain DB, this stationary element becoming an opportune landmark; and the sensor moving relative to the landmark, a step of accurately locating the sensor, from the geographical coordinates of this landmark and using a Kalman filter supplied with a plurality of measurements of the distance between the sensor and the landmark and with a plurality of measurements of the orientation of the LoS of the sensor toward the landmark, there being one orientation measurement for each telemetry measurement, simultaneously allowing the orientation of the LoS to be accurately estimated. 1. A method for geolocating an image sensor having a line of sight and installed on board an aircraft , characterized in that the geographical position of the sensor and the orientation of its a line of sight being approximate , it comprises:a step of creating at least one opportune landmark comprising the following substeps:an operator locating, on a screen for ...

LANE BOUNDARY LINE RECOGNITION DEVICE AND COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM OF RECOGNIZING LANE BOUNDARY LINES ON ROADWAY

An in-vehicle camera obtains image frames of a scene surrounding an own vehicle on a roadway. An extracting section in a lane boundary line recognition device extracts white line candidates from the image frames. The white line candidates indicate a degree of probability of white lines on an own vehicle lane on the roadway and a white line of a branch road which branches from the roadway. A branch judgment section calculates a likelihood of the white line as the white line of the branch road, and judges whether or not the white line candidate is the white line of the branch road based on the calculated likelihood. The branch judgment section decreases the calculated likelihood when a recognizable distance of the lane boundary line candidate monotonically decreases in a predetermined number of the image frames. 1. A lane boundary line recognition device comprising:a detection section capable of detecting lane boundary line candidates on a roadway on which an own vehicle drives on the basis of image frames of a surrounding area of the own vehicle on the roadway, captured by an in-vehicle camera mounted on the own vehicle; anda branch judgment section capable of calculating a likelihood which indicates a degree of whether each of the lane boundary line candidates detected by the detection section is a lane boundary line of a branch road, the branch road branching from the roadway, and the branch judgment section judging whether or not the lane boundary line candidate detected by the detection section is the lane boundary line of the branch road on the basis of the calculated likelihood, the branch judgment section increasing the likelihood of the lane boundary line candidate when a recognizable distance of the lane boundary line candidate monotonically decreases in a predetermined number of the image frames, where the recognizable distance indicates a distance to a farthest recognizable end point of the lane boundary line candidate.2. The lane boundary line recognition ...

LANE BOUNDARY LINE RECOGNITION DEVICE

In a lane boundary line recognition device, an extraction unit extracts lane boundary line candidates from image acquired by an in-vehicle camera. A position estimation unit estimates a position of each lane boundary line based on drive lane information containing a number of drive lanes on a roadway and a width of each drive lane when (a) and (b) are satisfied, (a) when an own vehicle drives on an own vehicle lane specified by the drive lane specifying unit, and (b) when the lane boundary line candidate corresponds to lane boundary lines of the own vehicle lane. A likelihood calculation unit increases a likelihood of the lane boundary line candidate when a distance between a position of the lane boundary line candidate and an estimated position of the lane boundary line candidate obtained by the drive lane boundary line position estimation unit is within a predetermined range. 1. A lane boundary line recognition device comprising:an image acquiring unit capable of acquiring surrounding images of a roadway on which an own vehicle drives;a drive lane boundary line candidate extraction unit capable of extracting lane boundary line candidates from the images acquired by the image acquiring unit;a likelihood calculation unit capable of calculating a likelihood of each of the lane boundary line candidates;a drive lane boundary line recognition unit capable of recognizing, as a lane boundary line, the lane boundary line candidate having the likelihood of not less than a predetermined threshold value;a selection unit capable of selecting a predetermined number of the lane boundary line candidates having the likelihood of not less than the predetermined threshold value;a drive lane information acquiring unit capable of obtaining drive lane information containing a number of drive lanes on the roadway on which the own vehicle drives, and a width of each of the drive lanes;a drive lane specifying unit capable of correlating the image with the drive lane information, and ...

IMAGE PROCESSING APPARATUS AND METHOD FOR DETECTING PARTIALLY VISIBLE OBJECT APPROACHING FROM SIDE USING EQUI-HEIGHT PERIPHERAL MOSAICKING IMAGE, AND DRIVING ASSISTANCE SYSTEM EMPLOYING THE SAME

Provided are an image processing apparatus and method, and a driving assistance system employing the same. The image processing apparatus includes a peripheral region extracting unit extracting, from an image, peripheral regions corresponding to a size of a target object determined in advance, a modifying unit modifying the peripheral regions to allow a viewpoint for the peripheral regions to be changed, a mosaicking image creating unit creating a mosaicking image by stitching the modified peripheral regions together, and an object detection unit detecting an object including a part of the target object from the mosaicking image. 1. An image processing device comprising:a peripheral region extracting unit extracting, from an image, peripheral regions corresponding to a size of a target object determined in advance;a modifying unit modifying the peripheral regions to allow a viewpoint for the peripheral regions to be changed;a mosaicking image creating unit creating a mosaicking image by stitching the modified peripheral regions together; andan object detection unit detecting an object including a part of the target object from the mosaicking image.2. The image processing device of claim 1 , wherein the peripheral region extracting unit comprises claim 1 ,a vanishing point detection unit detecting a vanishing point from the image;a region size calculating unit designating a horizontal line at every preset interval in a vertical direction from the vanishing point on the image and calculating a region height and a region width corresponding to a height and a width of the target object at each of the horizontal lines; anda region cutting unit cutting regions having a height of the region height from each of the horizontal lines and a width of the region width from sides of the image.3. The image processing device of claim 2 , wherein the region cutting unit cuts a left region having a height of the region height from each of the horizontal lines and a width of the ...

ROAD SIGN RECOGNITION DEVICE

In a road sign recognition system, a high luminance region indicating a region with a luminance higher than a predetermined reference luminance in the captured image is extracted (S, S), and a vehicle light source that represents a light source derived from the vehicle in the captured image is extracted (S, S). Then, a region that matches the vehicle light source in the high luminance region is excluded (S, S), and another region excluding the region that matches the vehicle light source in the high luminance region is set as a target region for recognizing the road sign (S, S), and the road sign is recognized in the target region. As a result, it is possible to narrow the region of performing the process of recognizing the road sign, thus it is possible to reduce the process load during recognizing the road sign. 1. A road sign recognition device , which is employed on a vehicle , that recognizes a road sign in a captured image , comprising:a first means for extracting a high luminance region indicating a region with a luminance higher than a predetermined reference luminance in the captured image;a second means for extracting a vehicle light source that represents a light source derived from the vehicle in the captured image;a third means for excluding a region that matches the vehicle light source in the high luminance region; anda fourth means for setting another region excluding the region that matches the vehicle light source in the high luminance region as a target region for recognizing the road sign, and recognizing the road sign in the target region.2. The road sign recognition device according to claim 1 , wherein claim 1 ,there is provided a fifth means for setting imaging parameters that represent settings when an image capturing section captures the images based on a luminance of sign existing regions that represent regions where the road signs are likely to exist in the captured image; anda sixth means for obtaining the captured image captured by the ...

ROOM INFORMATION INFERRING APPARATUS, ROOM INFORMATION INFERRING METHOD, AND AIR CONDITIONING APPARATUS

A room information inferring apparatus that infers information regarding a room has an imaging unit that captures an image of a room that is to be subjected to inferring, a person detector that detects a person in an image captured by the imaging unit, and acquires a position of the person in the room, a presence map generator that generates a presence map indicating a distribution of detection points corresponding to persons detected in a plurality of images captured at different times, and an inferring unit that infers information regarding the room based on the presence map. 1. A room information inferring apparatus that infers information regarding a room , comprising:an imaging unit that captures an image of a room that is to be subjected to inferring;a person detector that detects a person in an image captured by the imaging unit, and acquires a position of the person in the room;a presence map generator that generates a presence map indicating a distribution of detection points corresponding to persons detected in a plurality of images captured at different times; andan inferring unit that infers information regarding the room based on the presence map.2. The room information inferring apparatus according to claim 1 , wherein the person detector detects a face claim 1 , a head claim 1 , or an upper body of the person in the image claim 1 , and acquires the position of the person in the room based on a position and a size of the face claim 1 , the head claim 1 , or the upper body in the image.3. The room information inferring apparatus according to claim 1 , wherein the inferring unit infers a shape of the room based on the presence map.4. The room information inferring apparatus according to claim 3 , wherein the inferring unit infers that a polygon circumscribed around the distribution of detection points in the presence map is the shape of the room.5. The room information inferring apparatus according to claim 4 , wherein the inferring unit infers the shape ...

METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR BREAST DENSITY CLASSIFICATION USING FISHER DISCRIMINATION

A method for content-based image retrieval for the classification of breast density from mammographic imagery is described. The breast density is characterized through the Fisher linear discriminants (FLD) extracted from the Principal Component Analysis (PCA). Unlike PCA, the FLD provides a very discriminative representation of the mammographic images in terms of the breast density. Various exemplary methods, systems and computer program products are also disclosed. 1. A system for classifying breast density from mammographic imagery using content-based image retrieval , the system comprising:circuitry configured tostore a mammogram image database;pre-process one or more digital mammogram images of a patient to remove noise and enhance contrast;segment the one or more digital mammogram images to produce one or more extracted regions of interest and save the one or more extracted regions of interest;group the one or more saved extracted regions of interest to produce a large mammogram image;decompose the large mammogram image by principal component analysis (PCA) in the mammogram image database; andclassify the large mammogram image according to breast density with Fisher Linear Discriminant (FLD) in the mammogram image database.2. The system of claim 1 , wherein the circuitry is configured to decompose a covariance matrix of the mammogram image database with Formula II:{'br': None, 'i': E', =[UDV, 'sub': db', 'db, 'sup': T', 'T, '[MammoMammo]; and'} {'br': None, 'i': 'U', 'sup': 'T', 'Proj=Ω;'}, 'project the large mammogram image into a feature space with Formula IIIwherein:{'sub': 'db', 'Mammorepresents the mammogram image database;'}U and V represent the left and right eigenvectors, respectively, associated with the eigenvalues stored in the diagonal matrix D;Ω and Proj represent the original and projected large mammogram image, respectively.3. The system of claim 1 , wherein the circuitry is configured to store the mammogram image database such that the mammogram ...

REGION SELECTION FOR IMAGE MATCH

The accuracy of an image matching process can be improved by determining relevant swatch regions of the images, where those regions contain representative patterns of the items of interest represented in those images. Various processes examine a set of visual cues to determine at least one candidate object region, and then collate these regions to determine one or more representative swatch images. For apparel items, this can include locating regions such as an upper body region, torso region, clothing region, foreground region, and the like. Processes such as regression analysis or probability mapping can be used on the collated region data (along with confidence and/or probability values) to determine the appropriate swatch regions. 1. A system , comprising:at least one processor; and receive an image containing a representation of an object;', 'determine a set of candidate swatch regions based at least in part on a selection of the area of the image;', 'for each swatch region in the set of candidate swatch regions, identify a subset of pixels of the image based at least in part on the subset of pixels having at least a minimum probability of similarity to the representation of the object in the image;', 'selecting at least one swatch region from the set of candidate swatch regions based at least in part on the minimum probability of similarity to the representation of the object;', 'determine at least two or more sub-regions within the at least one swatch region;', 'collating data for the at least one swatch region to determine a sub-region representative of at least one visual aspect of the object; and', 'generating a swatch image using pixel values from within the sub-region, the swatch image used to perform an similarity matching process against a set of candidate images., 'memory storing instructions that, when executed by the at least one processor, cause the system to2. The system of claim 1 , wherein the at least two or more sub-regions within the at least ...

Method for embedding and extracting multi-scale space based watermark

A method for embedding and extracting a multi-scale space based watermark, comprises: constructing a pyramid structure of an original image by dividing each carrier image layer into M square carrier image blocks of the same size; constructing a multi-scale structure of a watermark image; embedding a watermark by embedding each watermark image into a corresponding carrier image block to obtain the original image containing the watermark; locating in the pyramid structure of the original image a target image from which a watermark will be extracted; extracting the watermark by obtaining an estimated watermark by means of the target image block and the reference image block; comparing watermarks by evaluating similarity between the estimated watermark and a watermark image to which the reference image block corresponds. Due to the multi-resolution block pyramid data structure in the present invention, a large scale attack is decomposed into a multi-level small scale attack.

Systems and Methods for Ultrasound Imaging

Techniques for processing ultrasound data. The techniques include using at least one computer hardware processor to perform obtaining ultrasound data generated based, at least in part, on one or more ultrasound signals from an imaged region of a subject; calculating shadow intensity data corresponding to the ultrasound data; generating, based at least in part on the shadow intensity data and at least one bone separation parameter, an indication of bone presence in the imaged region, generating, based at least in part on the shadow intensity data and at least one tissue separation parameter different from the at least one bone separation parameter, an indication of tissue presence in the imaged region; and generating an ultrasound image of the subject at least in part by combining the indication of bone presence and the indication of tissue presence.

CT SYSTEM FOR SECURITY CHECK AND METHOD THEREOF

A CT system for security check and a method thereof are provided. The method includes: reading inspection data of an inspected object; inserting at least one three-dimensional (3D) Fictional Threat Image (FTI) into a 3D inspection image of the inspected object, which is obtained from the inspection data; receiving a selection of at least one region in the 3D inspection image including the 3D FTI or at least one region in a two-dimensional (2D) inspection image including a 2D FTI corresponding to the 3D FTI, wherein the 2D inspection image is obtained from the 3D inspection image or is obtained from the inspection data; and providing a feedback of the 3D inspection image including at least one 3D FTI in response to the selection. With the above solution, it is convenient for a user to rapidly mark a suspected object in the CT image, and provides a feedback of whether a FTI is included. 1. A method in a Computed Tomography (CT) system for security check , comprising steps of:reading inspection data of an inspected object;inserting at least one three-dimensional (3D) Fictional Threat Image (FTI) into a 3D inspection image of the inspected object, wherein the 3D inspection image is obtained from the inspection data;receiving a selection of at least one region in the 3D inspection image including the 3D FTI or at least one region in a two-dimensional (2D) inspection image including a 2D FTI corresponding to the 3D FTI, wherein the 2D inspection image is obtained from the 3D inspection image or is obtained from the inspection data; andproviding a feedback of the 3D inspection image including at least one 3D FTI in response to the selection.2. The method according to claim 1 , wherein the step of receiving a selection of at least one region in the 3D inspection image including the 3D FTI or at least one region in a 2D inspection image including a 2D FTI corresponding to the 3D FTI comprises:receiving coordinate positions of a part of the 3D inspection image or the 2D ...

Feature density object classification, systems and methods

A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.

Image segmentation for object modeling

Systems, devices, and methods are presented for segmenting an image of a video stream with a client device by accessing a set of images within a video stream, identifying an object of interest within one or more images of the set of images, and detecting a region of interest within the one or more images. The systems, devices, and method identify a first set of median pixels in a first portion of the object of interest and a second set of median pixels in a second portion of the object of interest. The systems, devices, and methods determine a polyline approximating the first and second sets of median pixels and generate a model for the polyline.

TRACKING OF HANDHELD SPORTING IMPLEMENTS USING COMPUTER VISION

A path and/or orientation of object approaching an athlete is tracked using two or more cameras. At least two sets of images of the object are obtained using at least two different cameras having different positions. Motion regions within images are identified, and candidate locations in 2D space of the object are identified within the motion region(s). Based thereon, a probable location in 3D space of the identifiable portion is identified, for each of a plurality of instants during which the object was approaching. A piecewise 3D trajectory of at least the identifiable portion of the object is approximated from the probable locations in 3D space of the object for multiple instants during which the object was approaching the athlete. A graphical representation of the 3D trajectory of the object is incorporated into at least one of the sets of images. 1. A method for tracking a sporting implement during a sporting event , comprising:at least one processor constructed and configured for receiving at least two sets of images of the sporting implement;the at least one processor identifying at least one motion region in the at least two sets of images; andthe at least one processor identifying a first location of the sporting implement within the at least one motion region and a second location of the sporting implement based on the first location.2. The method of claim 1 , wherein a probable location in 3D space for an identifiable portion of the sporting implement is identified for each of a plurality of instants comprising a timespan that the sporting implement was in motion.3. The method of claim 2 , wherein the probable location in 3D space for each of the plurality of instants is converted back into 2D space and superimposed on one or more images of the sporting implement.4. The method of claim 2 , wherein a 3D trajectory of the sporting implement is approximated based on the probable location in 3D space for each of the plurality of instants comprising the ...

ITERATIVE DEFECT FILTERING PROCESS

Data indicative of a group of defect candidates may be obtained. The data may be indicative of a group of defect candidates and may include values of attributes for each defect candidate of the group of defect candidates. Sub-groups of defect candidates may be iteratively selected for review using a review recipe to classify the defect candidates in each selected sub-group based on the values of attributes of respective defect candidates and classification results of previously reviewed defect candidates. The sub-groups may be selected until a sampling stop condition is fulfilled to obtain a classification output for the wafer. Instructions specifying at least one of the sampling stop condition, the inspection recipe, or the review recipe may be altered and additional defect candidates in a next wafer may be classified by using the altered instructions. 1. A method comprisingin response to an inspection of a wafer by an inspection toot using an inspection recipe, obtaining data indicative of a group of defect candidates, wherein the data comprises values of attributes for each defect candidate of the group of defect candidates;iteratively selecting sub-groups of defect candidates from the group of defect candidates for review using a review recipe to classify the defect candidates in each selected sub-group, wherein the iterative selecting is based on the values of attributes of respective defect candidates and classification results of previously reviewed defect candidates, and wherein the iterative selecting is continued until a sampling stop condition is fulfilled to obtain a classification output for the wafer;using the classification output obtained for the wafer to alter instructions specifying at least one of the sampling stop condition, the inspection recipe, or the review recipe; andclassifying, by a processing device, additional defect candidates in a next wafer by using the altered instructions.2. The method of claim 1 , wherein the iteratively selecting ...

AUTO-FOCUSING SYSTEM AND METHOD

An auto-focusing method includes dividing an image into a plurality of blocks, performing discrete cosine transform (DCT) on image data of the plurality of blocks to output a plurality of DCT blocks each comprising DCT coefficients, generating a DCT mask for selecting DCT coefficients corresponding to a selected frequency range in a DCT block among the plurality of DCT blocks, and calculating a focus value of the image by applying the generated DCT mask to the DCT block. 1. An auto-focusing method comprising:dividing an image into a plurality of blocks;performing discrete cosine transform (DCT) on image data of the plurality of blocks to output a plurality of DCT blocks each comprising DCT coefficients;generating a DCT mask for selecting DCT coefficients corresponding to a selected frequency range in a DCT block among the plurality of DCT blocks; andcalculating a focus value of the image by applying the DCT mask to the DCT block.2. The auto-focusing method of claim 1 , wherein the DCT block comprises a plurality of alternating current (AC) components divided into at least one low frequency component claim 1 , at least one medium frequency component claim 1 , and at least one high frequency component claim 1 , and a first DCT mask for selecting DCT coefficients corresponding to the low frequency component and a first medium frequency component adjacent to the low frequency component; and', 'a second DCT mask for selecting DCT coefficients corresponding to the high frequency component and a second medium frequency component adjacent to the high frequency component., 'wherein the generating the DCT mask comprises generating at least one of3. The auto-focusing method of claim 2 , wherein the calculating the focus value comprises:calculating a first focus value of the image by applying the first DCT mask to the DCT block;calculating a second focus value of the image by applying the second DCT mask to the DCT block; andselecting one of the first focus value and the second ...

IMAGE PROCESSING DEVICE, ENDOSCOPE APPARATUS, INFORMATION STORAGE DEVICE, AND IMAGE PROCESSING METHOD

An image processing device includes an image acquisition section that acquires a captured image that includes an image of the object, a distance information acquisition section that acquires distance information based on the distance from an imaging section to the object when the imaging section captured the captured image, an in-focus determination section that determines whether or not the object is in focus within a pixel or an area within the captured image based on the distance information, a classification section that performs a classification process that classifies the structure of the object, and controls the target of the classification process corresponding to the results of the determination as to whether or not the object is in focus within the pixel or the area, and an enhancement processing section that performs an enhancement process on the captured image based on the results of the classification process. 1. An image processing device comprising:an image acquisition section that acquires a captured image that includes an image of an object;a distance information acquisition section that acquires distance information based on a distance from an imaging section to the object when the imaging section captured the captured image;an in-focus determination section that determines whether or not the object is in focus within a pixel or an area within the captured image based on the distance information;a classification section that performs a classification process that classifies a structure of the object, and controls a target of the classification process corresponding to results of the determination as to whether or not the object is in focus within the pixel or the area; andan enhancement processing section that performs an enhancement process on the captured image based on results of the classification process.2. The image processing device as defined in claim 1 ,the classification section outputting a classification result that corresponds to an ...

PEOPLE DETECTION AND TRACKING WITH MULTIPLE FEATURES AUGMENTED WITH ORIENTATION AND SIZE BASED CLASSIFIERS

This disclosure describes techniques to detect an object. The techniques include operations comprising: receiving an image captured by overhead camera; identifying a region of interest (ROI) of a plurality of regions within the image; selecting an object classifier from a plurality of object classifiers based on a position of the identified ROI relative to the overhead camera; and applying the selected. object classifier to the identified ROI; and detecting presence of the object within the ROI in response to applying the selected object classifier to the identified ROI. 1. A system for detecting an object in an image , the system comprising:a processor; and receiving an image captured by an overhead camera;', 'identifying a region of interest (ROI) of a plurality of regions within the image;', 'selecting an object classifier from a plurality of object classifiers based on a position of the identified ROI relative to the overhead camera, a first of the plurality of object classifiers being configured to detect a first feature of the object, and a second of the plurality of object classifiers being configured to detect a second feature of the object;', 'applying the selected object classifier to the identified ROI; and', 'detecting presence of the object within the ROI in response to applying the selected object classifier to the identified ROI., 'a memory for storing one or more instructions that, when executed by the processor, configure the processor to perform operations comprising2. The system of claim 1 , wherein the operations further comprise:associating a first region of the plurality of regions with a first subset of the object classifiers; andassociating a second region of the plurality of regions with a second subset of the object classifiers.3. The system of claim 2 , wherein the object classifiers are configured to detect human objects claim 2 , wherein the first region corresponds to a first rotation relative to the overhead camera and is within a ...

CHARACTER SEGMENTING APPARATUS, CHARACTER RECOGNITION APPARATUS, AND CHARACTER SEGMENTING METHOD

A character segmenting apparatus may include a character segmenting position detecting unit to detect a segmenting position of characters. The character segmenting position detecting unit may include an area setting unit to set up an area for detecting the segmenting position; a projection creating unit configured to create a projection of pixel values, with respect to pixels arranged in a character placement direction, at least in a specified area set up by the area setting unit; a binarizing threshold value obtaining unit to calculate a moving average on the basis of minimum pixel values of the projection, in order to specify the moving average as a binarizing threshold value for the specified area; and a position detecting unit to calculate a character segmenting position on the basis of the binarizing threshold value. 1. A character segmenting apparatus for segmenting each character out of a character string , by processing an image datum obtained by way of imaging the character string positioned on a recording medium , the character segmenting apparatus comprising:a character segmenting position detecting unit configured to detect a segmenting position of characters constituting the character string;wherein, the character segmenting position detecting unit comprises:an area setting unit configured to set up an area for detecting the segmenting position of characters;a projection creating unit configured to create a projection of pixel values, with respect to pixels arranged in a character placement direction in which the characters are placed, at least in a specified area set up by the area setting unit;a binarizing threshold value obtaining unit configured to calculate a moving_average on the basis of minimum pixel values of the projection, in order to specify the moving average as a binarizing threshold value for the specified area; anda position detecting unit configured to calculate a character segmenting position on the basis of the binarizing threshold ...

SYSTEM AND METHOD FOR GENERATING AND EMPLOYING SHORT LENGTH IRIS CODES

A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation. 1. A computer readable storage medium comprising a computer readable program for generating compact iris representations based on a database of iris images , wherein the computer readable program when executed on a computer causes the computer to perform the steps of:computing genuine and imposter score distributions for full-length iris codes for iris images in a database, where the full-length iris codes include a plurality of portions corresponding to circumferential rings in an associated iris image;identifying and retaining code portions that have a contribution that provides separation between imposter and genuine distributions relative to a threshold;measuring a correlation between remaining code portions; andgenerating a subset of the remaining code portions having low correlations within the subset to produce a compact iris representation.2. The computer readable storage medium as recited in claim 1 , further comprising determining parameters of a full length iris code to compact iris code transform by generating an all-aligned-pairs set.3. The computer readable storage medium as recited in claim 2 , wherein identifying code portions includes computing a Hamming distance for all rows in an aligned code where a minimum Hamming distance is used as a ...

INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD

According to one embodiment, an information processing apparatus includes a hardware processor and a controller. The hardware processor detects a first region in an image that includes a character and detects a second region in the image that includes a text-line including at least a particular number of first regions. The controller causes the hardware processor to detect the second region in the image when a variation of a camera is less than or equal to a threshold. The controller changes a setting of the hardware processor associated with the detection of at least one of the first and second region and causes the hardware processor to detect the second region in the image when the second region is not detected. 1. An information processing apparatus comprising:an image processor that acquires an image; detects a first region in the image that includes a character and that detects a second region in the image that includes a text-line comprising at least a particular number of first regions, the second region detected based at least in part on the detection of the first region; and', 'detects a variation in position and attitude of a camera at a time when the image is shot; and, 'a hardware processor thata controller that causes the hardware processor to detect the second region in the image when the variation is less than or equal to a threshold,wherein the controller changes a setting of the hardware processor associated with the detection of at least one of the first region and the second region and causes the hardware processor to detect the second region in the image when the second region is not detected by the hardware processor.2. The information processing apparatus of claim 1 , wherein the hardware processor analyzes the image to determine a setting to detect at least one of the first region and the second region in the image claim 1 ,wherein the controller causes the hardware processor to determine the setting of before execution of the detection of ...

GENERATING AND USING A PREDICTIVE VIRTUAL PERSONFICATION

A system for generating a predictive virtual personification includes receiving, from an AV data source, a data store, and a saliency recognition engine, wherein the AV data source is configured to transmit one or more AV data sets to the saliency recognition engine, each AV data set includes a graphical representation of a donor subject, and the saliency recognition engine is configured to receive the AV data set and one or more identified trigger stimulus events, locate a set of saliency regions of interest (SROI) within the graphical representation of the donor subject, generate a set of SROI specific saliency maps and store, in the data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event. 1. A method for generating a predictive virtual personification comprises:receiving, from an AV data source, one or more AV data sets;locating within each AV data set, with a saliency recognition engine, a graphical representation of a donor subject and a set of saliency regions of interest (SROI) within said graphical representation of the donor subject;identifying one or more trigger stimulus events, wherein each trigger stimulus events precedes or is contemporaneous with one or more SROI specific reactive responses and each SROI specific reactive response is observable within a SROI;generating, for each SROI, a set of SROI specific saliency maps, wherein each SROI specific saliency map plots a change in geospatial orientation of one or more SROIs within a predetermined time-frame corresponding to each trigger stimulus event; andstoring, in a data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event.2. The method of claim 1 , further comprising identifying a set of donor-specific physio-emotional characteristics corresponding to a donor-specific physio-emotional state at the time of the trigger ...

IMAGE PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN IMAGE PROCESSING PROGRAM, AND OPERATION METHOD OF IMAGE PROCESSING APPARATUS

When binary labeling is performed, an outline specification unit specifies a first outline present toward a target region and a second outline present toward a non-target region, and which have shapes similar to an outline of the target region. A voxel selection unit selects an N number of voxels constituting all of the first outline and the second outline. The energy setting unit sets N-order energy when a condition that all of the voxels of the first outline belong to the target region and all of the voxels of the second outline belong to the non-target region is satisfied smaller than the N-order energy when the condition is not satisfied. After then, labeling is performed by minimizing energy.

APPARATUS AND METHOD FOR SUPPORTING COMPUTER AIDED DIAGNOSIS (CAD) BASED ON PROBE SPEED

There is provided an apparatus for supporting Computer Aided Diagnosis (CAD) based on a speed of a probe. The apparatus includes a region of interest (ROI) detector configured to detect an ROI from a current image acquired from a probe; and an ROI classifier configured to determine whether to classify the ROI using a determined state of a speed, and classify the ROI according to a result of the determination.

Transaction Authorization Employing Drag-And-Drop of a Security-Token-Encoded Image

In one embodiment, a computer-implemented electronic commerce transaction method. The computer receives original image data from a user device, associates a security token with the user, embeds the security token into the original image data to generate modified image data, and provides the modified image data to the user device. To authorize a financial transaction that uses personal data of the user, the computer subsequently receives the modified image data from the user device, extracts the security token from the modified image data, and validates the user and/or the user device.

GUIDED INSPECTION OF AN INSTALLED COMPONENT USING A HANDHELD INSPECTION DEVICE

A method for inspecting an installed component includes receiving an identity and selected location of the component as an input signal via a handheld inspection device having a controller, digital camera, and display screen, and collecting a dynamic pixel image of the selected location in real-time using the digital camera. The method includes displaying the image in real time via the display screen, projecting virtual guidance lines onto the image corresponding to edges of the installed component, and identifying the component via the controller when the image is aligned with the projected acquisition lines. A predetermined area of the installed component is identified after identifying the installed component, a predetermined feature dimension is measured within the identified predetermined area, and an output signal is generated with a status indicative of whether the measured feature dimension falls within a calibrated range. 1. A method for inspecting an installed component comprising:receiving an identity and selected location of the installed component as an input signal via a handheld inspection device having a controller, a digital camera, and a display screen;collecting a dynamic pixel image of the selected location in real-time using the digital camera;displaying the collected dynamic pixel image in real time via the display screen;projecting a set of virtual acquisition guidance lines onto the displayed dynamic pixel image via the controller, wherein the projected acquisition guidance lines correspond to edges of the installed component within the selected location;identifying the installed component in the selected location via the controller when the displayed dynamic pixel image is aligned with the projected acquisition lines;identifying a predetermined area of the installed component via the controller after identifying the installed component;measuring, via the controller using image processing instructions, a predetermined feature dimension of the ...

Method and apparatus for planning Computer-Aided Diagnosis

The invention provides a method and apparatus for classifying a region of interest in imaging data, the method comprising: 1. Method for classifying a region of interest in imaging data , the method comprising:calculating a feature vector for at least one region of interest in the imaging data, said feature vector including features of a first modality;projecting the feature vector for the at least one region of interest in the imaging data using a decision function to generate a classification, wherein the decision function is based on classified feature vectors including features of a first modality and features of at least a second modality;estimating the confidence of the classification if the feature vector is enhanced with features of the second modality.2. The method according to claim 1 , further comprising determining an outcome value based on outcome values associated with the classified feature vectors.3. The method according to claim 1 , further comprising marginalizing the decision function for features of the second modality.4. The method according to claim 3 , further comprising marginalizing the decision function for features of a third modality.5. The method according to claim 4 , further comprising selecting one of the second modality and the third modality.6. The method according to claim 4 , wherein the decision function has been trained using the respective set of classified feature vectors to project a feature vector to a classification.7. The method according to claim 6 , wherein the decision function is based on one of a support vector machine (SVM) claim 6 , a decision tree claim 6 , or a boosted stump.8. The method according to claim 7 , wherein the imaging data represents a human lung or a human breast.9. The method according to claim 8 , wherein the imaging data is a computer tomography (CT) image.10. The method according to claim 9 , wherein the first claim 9 , second claim 9 , or third modality is characterized by a type of contrasting ...

Image processing system with artifact suppression mechanism and method of operation thereof

An image processing system, and a method of operation thereof, includes: a local patch ternarization module for receiving an input image, for calculating a mean value of a local patch of pixels in the input image, and for calculating ternary values for the pixels based on the mean value; and an artifact removal module, coupled to the local patch ternarization module, for removing a residue artifact based on the ternary values and for generating an output image with the residue artifact removed for sending to an image signal processing hardware.

METHOD FOR PROCESSING INFORMATION AND ELECTRONIC DEVICE

A method for processing information and an electronic device are disclosed according to the disclosure, and a display unit of the electronic device is capable of being bended with certain curvature. The method includes: once notification signal for notifying the electronic device that a first plane image needs to be displayed is received, detecting and obtaining current bending state parameters for characterizing a current bending state of the display unit based on the notification signal; acquiring the first plane image from memory; performing image processing on the first plane image according to the current bending state parameters; and transmitting the second image to video memory of the display unit, to make a projected image of the second image on a preset plane is the same as the first plane image when the second image is displayed on the display unit of the curved shape.

IMAGE PROCESSING METHOD AND DEVICE

An image processing method includes: dividing a frame into a plurality of image regions; analyzing contents of the image regions to obtain respective first regional characteristic values of the image regions; obtaining a global characteristic value according to the first regional characteristic values of the image regions; and controlling at least one of a backlight and a panel according to the first regional characteristic values and/or the global characteristic value.

THREE DIMENSIONAL SCENE RECONSTRUCTION BASED ON CONTEXTUAL ANALYSIS

Techniques are provided for context-based 3D scene reconstruction employing fusion of multiple instances of an object within the scene. A methodology implementing the techniques according to an embodiment includes receiving 3D image frames of the scene, each frame associated with a pose of a depth camera, and creating a 3D reconstruction of the scene based on depth pixels that are projected and accumulated into a global coordinate system. The method may also include detecting objects, based on the 3D reconstruction, the camera pose and the image frames. The method may further include classifying the detected objects into one or more object classes; grouping two or more instances of objects in one of the object classes based on a measure of similarity of features between the object instances; and combining point clouds associated with each of the grouped object instances to generate a fused object. 1. A processor-implemented method for 3-Dimensional (3D) scene reconstruction , the method comprising:receiving, by a processor, a plurality of 3D image frames of a scene, each frame comprising a red-green-blue (RGB) image frame comprising color pixels and a depth map frame comprising depth pixels, wherein each of the 3D image frames is associated with a pose of a depth camera that generated the 3D image frames;projecting, by the processor, the depth pixels into points in a global coordinate system based on the camera pose;accumulating, by the processor, the projected points into a 3D reconstruction of the scene;detecting, by the processor, objects for each 3D image frame, based on the camera pose, the 3D reconstruction, the RGB image frame and the depth map frame;classifying, by the processor, the detected objects into one or more object classes;grouping, by the processor, a plurality of instances of objects in one of the object classes based on a measure of similarity of features between the object instances; andcombining, by the processor, point clouds associated with ...

Key Generating Method and Apparatus

A key generating method and apparatus, where the method includes acquiring complete picture data of a complete picture; displaying a partial picture of the complete picture in a display window; capturing a first picture from the partial picture, and generating first picture data of the first picture; and generating a key according to the first picture data.

BACKGROUND MODIFICATION IN VIDEO CONFERENCING

Methods and systems for real-time video processing can be used in video conferencing to modify image quality of background. One example method includes the steps of receiving a video including a sequence of images, identifying at least one object of interest (e.g., a face) in one or more of the images, detecting feature reference points of the at least one object of interest, and tracking the at least one object of interest in the video. The tracking may comprise aligning a virtual face mesh to the at least one object of interest in one or more of the images. Further, a background is identified in the images by separating the at least one object of interest from each image based on the virtual face mesh. The background is then modified in each of the images by blurring, changing a resolution, colors, or other parameters. 1. A computer-implemented method for real-time video processing , the method comprising:receiving a video including a sequence of images;identifying at least one object of interest in one or more of the images;detecting feature reference points of the at least one object of interest;tracking the at least one object of interest in the video, wherein the tracking comprises aligning a virtual face mesh to the at least one object of interest in one or more of the images based at least in part on the feature reference points;identifying a background in each of the images by separating the at least one object of interest from each image based at least in part on the virtual face mesh;modifying the background in each of the images, thereby generating a modified background; andgenerating a modified video which includes the at least one object of interest and the modified background.2. The method of claim 1 , wherein the modified background has a first image quality in the modified video and the at least one object of interest has a second image quality in the modified video; andwherein the first image quality is lower than the second image quality.3. The ...

THREE-DIMENSIONAL DENSE STRUCTURE FROM MOTION WITH STEREO VISION

Disclosed examples include three-dimensional imaging systems and methods to reconstruct a three-dimensional scene from first and second image data sets obtained from a single camera at first and second times, including computing feature point correspondences between the image data sets, computing an essential matrix that characterizes relative positions of the camera at the first and second times, computing pairs of first and second projective transforms that individually correspond to regions of interest that exclude an epipole of the captured scene, as well as computing first and second rectified image data sets in which the feature point correspondences are aligned on a spatial axis by respectively applying the corresponding first and second projective transforms to corresponding portions of the first and second image data sets, and computing disparity values of a stereo disparity map according to the rectified image data sets to construct. 1. A method to reconstruct a three-dimensional scene from temporally spaced image data sets from a single camera , the method comprising:determining relative camera positions of a single camera associated with first and second image data sets obtained using the single camera at first and second times;computing a plurality of pairs of first and second projective transforms according to the relative camera positions, each of the pairs of the first and second projective transforms corresponding to a respective one of a plurality of regions of interest of the first and second image data sets;for at least some of the individual regions of interest, computing first and second rectified image data sets in which feature point correspondences of the region are aligned on a spatial axis, the first and second rectified image data sets for a given one of the regions of interest being computed by respectively applying the corresponding first and second projective transforms to corresponding regions of interest of the first and second image ...

Dynamic Image Recognition Model Updates

A method includes capturing a first image via a camera of an electronic device using a first set of image capture parameters. The method includes identifying a first object in the first image based on an object recognition model. The method includes sending first image data to a server. The first image data includes first information associated with the first object. The method includes capturing a second image via the camera using a second set of image capture parameters. The method includes identifying a second object in the second image based on the object recognition model. The method includes sending second image data to the server. The second image data includes second information associated with the second object. The method also includes receiving location information from the server. The location information is determined by the server based on the first information and the second information. 1. A method comprising:capturing a first image via a camera of an electronic device, the first image captured using a first set of image capture parameters;identifying, at the electronic device, a first object in the first image based on an object recognition model;sending, from the electronic device to a server, first image data, wherein the first image data includes first information associated with the first object;capturing a second image via the camera, the second image captured using a second set of image capture parameters;identifying, at the electronic device, a second object in the second image based on the object recognition model;sending, from the electronic device to the server, second image data, wherein the second image data includes second information associated with the second object; andreceiving, at the electronic device from the server, location information, wherein the location information is determined by the server based on the first information and the second information.2. The method of claim 1 , further comprising claim 1 , responsive to the ...

Methods for Stent Strut Detection and Related Measurement and Display Using Optical Coherence Tomography

In one embodiment, the invention relates to a processor based method for generating positional and other information relating to a stent in the lumen of a vessel using a computer. The method includes the steps of generating an optical coherence image data set in response to an OCT scan of a sample containing at least one stent; and identifying at least one one-dimensional local cue in the image data set relating to the position of the stent. 120.-. (canceled)21. A method of generating a diagnostic representation of a blood vessel and a stent disposed therein , the method comprising:storing a set of intravascular measurements in a memory device, the set of intravascular measurements generated in response to an intravascular scan of the blood vessel and the stent disposed therein;wherein the set of intravascular measurements comprises intravascular data associated with a pullback frame and an angle of rotation;generating a two dimensional representation of a segment of the blood vessel and the stent disposed therein, wherein the two dimensional representation is oriented relative to a pullback frame axis and an angle of rotation axis; anddisplaying the two dimensional representation of the segment of the blood vessel and the stent disposed therein.22. The method of wherein the stent disposed in the blood vessel is displayed as a plurality of a bright narrow features.23. The method of wherein the stent disposed in the blood vessel is displayed as plurality of shadows corresponding to edges of stent struts of the stent.24. The method of further comprising correcting for one or more imaging artifacts.25. The method of wherein one or more of the imaging artifacts is stent distortion.26. The method of wherein one or more of the imaging artifacts is a stent motion artifact.27. The method of further comprising removing noise from image data.28. The method of further comprising enhancing display information to emphasize potentially clinically adverse regions.29. The method of ...

Image Optimization During Facial Recognition

Described is a technique for optimization an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection. 1. A method comprising:receiving, by a computing device, an image captured by a camera of the computing device;receiving, by the computing device, an indication to perform facial detection;determining, by the computing device and in response to the indication, a set of coordinates defining one or more regions the captured image, wherein each region of the one or more regions corresponds to a location of a face in the image;based on characteristics associated with the captured image, adjusting, by the computing device, the set of coordinates defining the one or more regions, thereby creating an adjusted image; anddetecting, by the computing device, facial features associated with the one or more regions within the adjusted image.2. The method of claim 1 , further comprising displaying a preview of the captured image and wherein the preview includes a face positioning guide and the set of coordinates of the one or more regions is based on a location of the positioning guide.3. The method of claim 1 , further comprising displaying a preview of the captured image and receiving a user input selecting a portion of the previewed image and wherein the set of coordinates of the one or more regions is based on the received user input.4. The method of claim 1 , ...

Method and apparatus for updating road map geometry based on received probe data

A method is provided for generating and revising map geometry based on a received image and probe data. A method may include: receiving probe data from a first period of time, where the probe data from a first period of time is from a plurality of probes within a predefined geographic region; generating a first image of the predefined geographic region based on the probe data from the first period of time; receiving probe data from a second period of time different from the first period of time, where the probe data from the second period of time is from a plurality of probes within the predefined geographic region; generating a second image based on the probe data from the second period of time; comparing the first image to the second image; and generating a revised route geometry based on changes detected between the first image and the second image.

DISTANCE-INDEPENDENT KEYPOINT DETECTION

Described herein is a method for detecting keypoints in three-dimensional images in which a three-dimensional image of a scene captured by a depth sensing imaging system is processed using a distance-independent keypoint filter. Keypoints are derived from the three-dimensional image by determining a mean shift field and using x- and y-components of the mean shift field to derive intersections of 0-isolines thereof. Positive and negative keypoints or nodes are connected to one another, positive to positive and negative to negative, to form a keygraph structure. 1. A computer-implemented method for determining at least one keypoint in a three-dimensional image of a scene , the method comprising the steps of:a) capturing at least one three-dimensional image of the scene using a depth sensing imaging system;b) deriving, using at least one processor, a depth map of the at least one captured three-dimensional image of the scene, each pixel in the at least one captured three-dimensional image having a depth value associated therewith;c) applying, using the at least one processor, a distance-independent keypoint filter to the depth map of the at least one captured three-dimensional image to generate a distance-independent keypoint filter response for each captured image;d) determining, using the at least one processor, at least one keypoint from the generated distance-independent keypoint filter response for each captured image.2. A method according to claim 1 , wherein step c) further comprises generating an image grid for the captured three-dimensional image claim 1 , each pixel in the image grid having an associated depth value which forms the depth map.3. A method according to claim 2 , wherein the generated distance-independent keypoint filter response comprises a density function corresponding to positions in the image grid.4. A method according to claim 3 , wherein step d) further comprises determining a mean shift field corresponding to a displacement of weighted ...

FINGERPRINT PREVIEW QUALITY AND SEGMENTATION

A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow--containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes. 1. An image quality determination method for an input image of any resolution comprising:determining ridge flow for a received image;establishing a ridge flow array; andidentifying one or more regions of the image.258.-. (canceled) This application is a Continuation of U.S. patent application Ser. No. 13/848,908, filed Mar. 22, 2013, which is a Continuation of U.S. patent application Ser. No. 13/047,568, filed Mar. 14, 2011, now. U.S. Pat. No. 8,452,060, which is a Divisional of U.S. patent application Ser. No. 11/426,114, filed Jun. 23, 2006, now U.S. Pat. No. 7,936,907, which claims the benefit of and priority under 35 U.S.C. §119(e) to U.S. patent application Ser. No. 60/795,215, filed Apr. 26, 2006, entitled “Real Time Fingerprint Quality and Segmentation,” each of which are incorporated herein by reference in their entirety.1. Field of the InventionThis invention relates generally to quality determination and segmentation. More specifically, an exemplary aspect of the invention relates to quality and segmentation determination of biometric image information, such as fingerprint, handprint or footprint image information.Livescan type devices provide preview modes of operation that serve as an aid to the operator for finger placement and image fidelity. Because of processing power, timing restrictions and bandwidth requirements, these devices and their associated quality metrics are unable to provide output ...

Image processing method

An image processing method for a picture of a participant, photographed in an event, such as a marathon race, increases the accuracy of recognition of a race bib number by performing image processing on a detected race bib area, and associates the recognized race bib number with a person included in the picture. This image processing method detects a person from an input image, estimates an area in which a race bib exists based on a face position of the detected person, detects an area including a race bib number from the estimated area, performs image processing on the detected area to thereby perform character recognition of the race bib number from an image subjected to image processing, and associates the result of character recognition with the input image.

System and method for retrieving an image containing image statistical data

A system and method of retrieving an area of interest of an image stored in a storage device. The method includes selecting the area of interest having user desired features, the stored image being divided into a plurality of polygonal image sections, each polygonal image section having substantially homogenous features, the image being further divided into a plurality of quads such that each quad has boundaries that contains at least a portion of a first polygonal image section and at least a portion of a second polygonal image section. The method further includes determining in which quad in the plurality of quads each pixel of the area of interest is located and determining for each quad, in which portion of the first polygonal image section or the second polygonal image section each pixel is located.

IMAGE BASED SEARCH TO IDENTIFY OBJECTS IN DOCUMENTS

An image based search is provided to identify objects in documents. An image may be processed to identify an object within a portion of the image. The image is embedded within a document. Portion of the image is converted into the object. The object includes a chart, a table, among others. Searchable content associated with the object is detected. The object and the searchable content is provided for export. 1. A method executed on a computing device to provide an image based search to identify objects in documents , the method comprising:processing an image to identify an object within a portion of the image;converting the portion into the object;detecting searchable content associated with the object; andproviding the object and the searchable content for export.2. The method of claim 1 , further comprising:retrieving the image from a document.3. The method of claim 1 , further comprising:providing the searchable content as metadata embedded within the object.4. The method of claim 1 , further comprising:processing the image through an image identification module that includes augmented optical character recognition (OCR) to identify text based data as the object in a structured format that includes one from a set of: a tabular format and a table format from the portion.5. The method of claim 1 , further comprising:identifying a table as the object.6. The method of claim 5 , further comprising:detecting one or more from a set of: one or more row titles, one or more column titles, a table title, one or more cell values of the table as the searchable content.7. The method of claim 1 , further comprising:identifying a chart as the object;8. The method of claim 7 , further comprising:detecting at least one from a set of: a chart title, one or more axis labels, one or more dataset labels, and one or more legends as searchable content.9. The method of claim 7 , further comprising:presenting a prompt to query a type of the chart, wherein the type includes one or more ...

Method for the Operation of an Assistance System of a Motor Vehicle, as well as Assistance System

The invention relates to a method () for operating an assistance system () of a motor vehicle for detecting a polygon traffic sign () with a number of edges (). By means of a camera () an image () of the traffic sign () is detected and within the detected image () a number of first routes () is determined, which is smaller than the number of edges () of the traffic sign (). Based on the first routes () a reproduction () of the traffic sign () is identified. The invention relates further to an assistance system () of a motor vehicle. 110-. (canceled)11. A method of operating an assistance system of a motor vehicle for detecting a polygon traffic sign having a number of edges , comprising steps:with a camera, detecting an image of the traffic sign;with a computing unit of the assistance system, analyzing the image of the traffic sign and thereby determining first line segments in the image of the traffic sign, wherein the number of the first line segments is smaller than the number of edges of the traffic sign; andwith the computing unit, identifying a reproduction of the traffic sign based on and dependent on the first line segments that were determined.12. The method according to claim 11 , wherein the analyzing of the image of the traffic sign comprises performing a gradient method to determine the first line segments in the image.13. The method according to claim 11 , wherein the number of edges of the traffic sign minus one specifies the number of the first line segments.14. The method according to claim 11 , further comprising claim 11 , with the computing unit claim 11 , defining a region within the image claim 11 , determining a number of second line segments in the region claim 11 , and then performing the determining of the first line segments by selecting the first line segments from among the second line segments.15. The method according to claim 14 , wherein all substantially horizontal line segments and all substantially vertical line segments within the ...

DEFINING REGION FOR MOTION DETECTION

A method, performed by a computer device, may include receiving a request to set up motion detection for a camera. The method may include generating a selection grid for a field of view associated with the camera, wherein the selection grid includes a plurality of grid elements; selecting one or more grid elements of the plurality of grid elements; and configuring motion detection for a video feed from the camera based on the selected one or more grid elements. 1. A method , performed by a computer device , the method comprising:receiving, by the computer device, a request to set up motion detection for a camera;generating, by the computer device, a selection grid for a field of view associated with the camera, wherein the selection grid includes a plurality of grid elements;selecting, by the computer device, one or more grid elements of the plurality of grid elements; andconfiguring, by the computer device, motion detection for a video feed from the camera based on the selected one or more grid elements.2. The method of claim 1 , further comprising:selecting a size of the plurality of grid elements.3. The method of claim 1 , further comprising:selecting a position of the plurality of grid elements.4. The method of claim 1 , further comprising:selecting a shape of the plurality of grid elements.5. The method of claim 1 , further comprising:selecting a first size, position, or shape for a first subset of the plurality of grid elements; andselecting a second size, position, or shape for a second subset of the plurality of grid elements.6. The method of claim 1 , wherein selecting the one or more grid elements of the plurality of grid elements includes:receiving a selection of the one or more grid elements from a user.7. The method of claim 1 , wherein selecting the one or more grid elements of the plurality of grid elements includes:selecting the one or more grid elements based on at least one of a detected object in the field of view, a history of detected motion in ...

Ultrasound Computed Tomography

Ultrasound Computed Tomography is a system of devices that reconstructs a series of 2 dimensional ultrasound images into a 3 dimensional computed tomographic model of an object by cataloguing ultrasound image frames according to the ultrasound probe's position in 3 dimensional space at the time of image capture. Capturing the position and orientation of an ultrasound probe at the time of image frame acquisition allows for appropriate placement of each 2 dimensional ultrasound image within a 3 dimensional computed tomographic workspace. Also subject of this patent is creation of a coherent 3 dimensional model of a body or body part through an algorithmic selection and weighting system to reconcile overlapping regions of ultrasound images captured from different positions. Additionally a system for acquisition of transmission based ultrasound images, made possible by positional cataloguing, is delineated. 1) System for cataloguing the relative orientation and position of an ultrasound probe with respect to a body part in 3 dimensional space.2) System for cataloguing the pressure applied by an ultrasound probe to a body part.3) System for creation of a 3 dimensional tomographic model of a body part from multiple 2 dimensional ultrasound image frames spatially assigned to positions in a digital 3 dimensional workspace based on the real world 3 dimensional position of the ultrasound probe capturing those images at the time of image capture.{'claim-ref': [{'@idref': 'CLM-00003', 'claim 3'}, {'@idref': 'CLM-00001', 'claim 1'}, {'@idref': 'CLM-00002', 'claim 2'}, {'@idref': 'CLM-00001', 'claim 1'}, {'@idref': 'CLM-00002', 'claim 2'}], '(To calculate the position of each 2 dimensional ultrasound image frame within a 3 dimensional space for the purposes of 3 dimensional tomographic modeling, the physical position of the ultrasound probe relative to the body part must be known for every frame of 2 dimensional ultrasound image capture. is thus dependent on and , and is the ...

METHOD AND SYSTEM FOR OBJECT DETECTION WITH MULTI-SCALE SINGLE PASS SLIDING WINDOW HOG LINEAR SVM CLASSIFIERS

The invention provides methods and systems for reliably detecting objects in a received video stream from a camera. Objects are selected and a bound around selected objects is calculated and displayed. Bounded objects can be tracked. Bounding is performed by using Histogram of Oriented Gradients and linear Support Vector Machine classifiers. 1. A method for reliably detecting an object in a video frame comprising:predetermining one or more trained object classifiers based on one or more samples of predetermined size;receiving a video stream from a camera;selecting an object within at least one frame of said video stream;determining a bound of said object based on said predetermined trained object classifiers; anddetecting said object based on said bound.2. The method of claim 1 , wherein said objects are vehicles.3. The method of claim 1 , wherein said object classifiers are linear histogram of oriented gradients classifiers claim 1 , each based on histogram of oriented gradients feature vectors.4. The method of further comprising determining said bound of said object based on multi-scale single pass sliding window histogram of oriented gradients linear support vector machine classifiers.5. The method of claim 4 , further comprising predetermining a calibration based on said trained object classifiers claim 4 , and performing said multi-scale single pass sliding window based on said calibration.6. The method of claim 5 , wherein said object classifiers are trained for the same object or object category for a plurality of grid sizes claim 5 , and said object classifiers are trained with positive and negative histogram of oriented gradients feature vector samples extracted from a plurality of predetermined video image samples.7. The method of claim 6 , wherein said calibration further comprises determining said histogram of oriented gradients feature vectors by: dividing said at least one frame into a grid of cells; calculating a fixed size histogram of oriented ...

Techniques for Automatically Correcting Groups of Images

Disclosed are various embodiments for a computing device that receives input, from a user, selecting an area of a displayed image, where the area includes the blemish sought to be corrected by the user. The computing device identifies a spot pattern of the blemish to be corrected within the area and a context pattern of the displayed image. The computing device corrects the spot pattern of the blemish within the displayed image. The computing device identifies related images that have context patterns similar to the context pattern of the displayed image. The computing device automatically corrects similar instances of the spot pattern appearing within the related images. 1. A method comprising: receiving input selecting an area of an image that includes a blemish to be corrected;', 'identifying a context pattern comprising a region of the image representing a context in which the blemish occurs in the image;', 'identifying a spot pattern of the blemish within the area;', 'correcting the spot pattern of the blemish within the image;', 'identifying related images having context patterns similar to the context pattern of the image; and', 'correcting similar instances of the spot pattern appearing within the related images., 'a computing device2. The method of claim 1 , wherein a user confirms said correcting within the image.3. The method of claim 1 , further comprising a user interface through which the computing device receives the input selecting the area of the image that includes the blemish.4. The method of claim 1 , further comprising:storing at least the spot pattern and the context pattern of the image in a correction history; andautomatically examining newly added images for blemish correction based at least in part upon the correction history.5. The method of claim 1 , wherein the related images are specified in an image library.6. The method of claim 1 , wherein the related images are examined in an order based upon a date of capture of the respective ...

X-RAY CT APPARATUS AND IMAGE PROCESSING APPARATUS

An X-ray computed tomography (CT) apparatus according to an embodiment includes processing circuitry. The processing circuitry causes a CT image designated as a display object image to be displayed on a display, every time any of a plurality of reconstructed CT images is designated as the display object image. The processing circuitry causes a newly reconstructed enlarged CT image to be displayed on the display when the processing circuitry receives an enlargement instruction to enlarge the CT image displayed on the display. The processing circuitry performs preprocessing on raw data corresponding to the CT image designated as the display object image, every time any of the CT images is designated as the display object image. The processing circuitry reconstructs the enlarged CT image using the preprocessed raw data, based on the enlargement instruction, when the processing circuitry receives the enlargement instruction. 1. An X-ray computed tomography (CT) apparatus comprising: cause a CT image designated as a display object image to be displayed on a display, every time any of a plurality of reconstructed CT images is designated as the display object image, and cause a newly reconstructed enlarged CT image to he displayed on the display when the processing circuitry receives an enlargement instruction to enlarge the CT image displayed on the display,', 'perform preprocessing on raw data corresponding to the CT image designated as the display object image, every time any of the CT images designated as the display object image, and', 'reconstruct the enlarged CT image using the preprocessed raw data, based on the enlargement instruction, when the processing circuitry receives the enlargement instruction., 'processing circuitry configured to2. The X-ray CT apparatus according to claim 1 , wherein the processing circuitry performs the preprocessing on raw data corresponding to the CT images including the CT image designated as the display object image claim 1 , every ...

Audio-Visual Speech Recognition with Scattering Operators

Aspects described herein are directed towards methods, computing devices, systems, and computer-readable media that apply scattering operations to extracted visual features of audiovisual input to generate predictions regarding the speech status of a subject. Visual scattering coefficients generated according to one or more aspects described herein may be used as input to a neural network operative to generate the predictions regarding the speech status of the subject. Predictions generated based on the visual features may be combined with predictions based on audio input associated with the visual features. In some embodiments, the extracted visual features may be combined with the audio input to generate a combined feature vector for use in generating predictions. 1. A method comprising:receiving, by a computing device, audiovisual input comprising audio input and video input associated with a subject;extracting, by the computing device, visual features from the video input;applying, by the computing device, a scattering operation to the extracted visual features to generate a vector of scattering coefficients;providing the vector of scattering coefficients as input to a first neural network for visual processing;providing the audio input to a second neural network for audio processing;combining, by the computing device, a first output of the first neural network with a second output of the second neural network to generate a fused audiovisual feature vector based on the audiovisual input;providing the fused audiovisual feature vector to a third neural network for audiovisual processing; andgenerating, by the computing device and using the third neural network, a first prediction regarding a speech status of the subject based on the fused audiovisual feature vector.2. The method of claim 1 , wherein providing the vector of scattering coefficients as input to the first neural network for visual processing comprises:normalizing the vector of scattering coefficients ...

IMAGE PROCESSING APPARATUS

An image processing apparatus includes a processing unit that image-processes a plurality of image data using different parameters, a comparison unit that compares image processing results, and a determination unit that determines, from the plurality of parameters, a parameter based on a comparison result by the comparison unit, in which image data is processed using the parameter determined by the determination unit. 1. An image processing apparatus comprising:a storage unit configured to store a plurality of image processing parameters;a first processing unit configured to image-process a plurality of first image data based on different image processing parameters;a comparison unit configured to compare processing results of the plurality of first image data processed by the first processing unit;a determination unit configured to determine, from the different image processing parameters, an image processing parameter based on a comparison result by the comparison unit; anda second processing unit configured to image-process second image data based on the image processing parameter determined by the determination unit.2. The image processing apparatus according to claim 1 , whereinthe plurality of image processing parameters include encoding parameters for encoding image data, and whereinthe first processing unit and the second processing unit encode image data using the same encoding parameter.3. The image processing apparatus according to claim 1 , whereinthe plurality of first image data to be image-processed by the first processing unit corresponds to the images having a parallax therebetween.4. The image processing apparatus according to claim 1 , whereinthe second image data to be image-processed by the second processing unit includes a composite image obtained by combining the plurality of first image data having a parallax therebetween.5. The image processing apparatus according to claim 1 , whereinthe plurality of first image data to be image-processed by ...

TIME OPTIMAL PHASE SENSITIVE INVERSION RECOVERY RECONSTRUCTION FOR MAGNETIC RESONANCE IMAGING

A system and method for cardiac magnetic resonance imaging (MRI) is disclosed that facilitates the phase sensitive reconstruction of inversion recovery magnetization prepared data with minimal scan time penalty by acquiring the phase reference data with low spatial resolution. The technique can be applied for the investigation of myocardial tissue characterization by acquiring 2D and/or 3D late Gadolinium enhancement (LGE) scans after the injection of a Gadolinium contrast agent. Regional areas of contrast accumulation in scarred myocardial tissue appear bright on these T-weighted images. As disclosed here the proposed technique for phase sensitive inversion recovery acquisition with low resolution phase reference is robust against changes in inversion time, change in Tdue to Gadolinium contrast washout, high signal-to-noise ratio, and low scan time penalty compared to magnitude LGE. 1. A method of acquiring a phase sensitive inversion-recovery (IR) magnetization-prepared image in a cardiac gated magnetic resonance acquisition comprising steps of:acquiring IR magnetization-prepared data and reconstructing an IR-prepared image by applying an inversion-recovery magnetization-prepared radiofrequency pulse at a time point within an IR-prepared cardiac R-R interval;{'sub': 'z', 'awaiting an optimal inversion (TI) time in which a longitudinal magnetization of normal myocardial tissue recovers at a null point (M=0) to acquire MR k-space data of the tissue within the IR-prepared cardiac R-R interval;'}acquiring non-IR-prepared data to reconstruct a non-IR-prepared phase reference image using a cardiac gated sequence within a non-IR-prepared cardiac R-R time interval while limiting spatial resolution to a minimum low spatial resolution, wherein the spatial resolution of the non-IR-prepared phase reference image is less than the spatial resolution of the IR-prepared image; andreconstructing a phase sensitive image using the IR-prepared image and the non-IR-prepared phase ...

SIGHT TRACKING METHOD AND DEVICE

Embodiments of the present disclosure relate to a sight tracking method and a device, the sight tracking method comprises: determining an observation region where an iris center of a to-be-tested iris image is located according to a target model; modifying a prediction region by using the observation region, to obtain a target region, the prediction region being a region where the iris center of the to-be-tested iris image is located determined by a kalman filtering method; and determining a position of fixation point of human eyes on a screen according to the target region. 1. A sight tracking method , comprising:determining an observation region where an iris center of a to-be-tested iris image is located according to a target model;modifying a prediction region by using the observation region, to obtain a target region, the prediction region being a region where the iris center of the to-be-tested iris image is located determined by a kalman filtering method; anddetermining a position of fixation point of human eyes on a screen according to the target region.2. The method according to claim 1 , before determining an observation region where an iris center of a to-be-tested iris image is located according to a target model claim 1 , the method further comprises:obtaining an visual feature parameter of each iris image in n iris images corresponding to a same vision region in a preset reference image, to obtain n visual feature parameters;determining a target parameter of an Extreme Learning Machine neural network, by inputting the n visual feature parameters to the Extreme Learning Machine neural network;determining the target model according to the target parameter and the Extreme Learning Machine neural network,the target model being a module obtained according to the target parameter and the Extreme Learning Machine neural network, the target parameter being a parameter obtained after the n visual feature parameters are input to the Extreme Learning Machine ...

Apparatus, Method and Computer Program for Capturing Images

An apparatus, method and computer program wherein the apparatus includes an image sensor, an optical arrangement including at least one adjustable focusing element; wherein the adjustable focusing element is configured to alternate between a first focus distance and a second focus distance as an image is captured by the image sensor. 1. An apparatus comprising:an image sensor,an optical arrangement comprising at least one adjustable focussing element;wherein the adjustable focussing element is configured to alternate between a first focus distance and a second focus distance as an image is captured by the image sensor.2. An apparatus as claimed in wherein the apparatus comprises a rolling shutter.3. An apparatus as claimed in wherein the adjustable focussing element is synchronised with the rolling shutter.4. An apparatus as claimed in wherein the adjustable focussing element is configured to alternate between the first focus distance and the second focus distance a plurality of times as the image is captured by the image sensor.5. An apparatus as claimed in wherein the adjustable focussing element is configured to provide a plurality of focus distances between the first focus distance and the second focus distance6. An apparatus as claimed in wherein the first focus distance comprises claim 1 , a distance which is far away from the apparatus.7. An apparatus as claimed in wherein the first focus distance comprises infinity.8. An apparatus as claimed in wherein the second focus distance comprises a distance close to the apparatus.9. An apparatus as claimed in wherein the image captured by the image sensor comprises a plurality of regions where the regions have different focus distances.10. An apparatus as claimed in wherein the regions comprise a plurality of stripes across the image.11. An apparatus as claimed in wherein the apparatus is further configured to obtain at least one focussed image from a subset of the plurality of regions of the image captured by the ...

VIDEO DATA ANALYZING METHOD AND APPARATUS AND PARKING LOT MONITORING SYSTEM

This application provides a video data analyzing method and apparatus and a parking lot monitoring system where the system includes: a video camera configured to capture videos; a data memory configured to store video data from the video camera; an analysis server configured to analyze a status of each parking lot according to the video data obtained from the data memory; an information publishing device configured to publish status information on each parking lot; and a central manage system configured to control operations of parts of the parking lot monitoring system. With the method, apparatus or system of this application, a large quantity of parking lots may be monitored by using few hardware resources, and high detection precision under an all-weather condition may be realized, which is extendable, and may support high-grade functions based on core technologies. 1. A vehicle parking lot monitoring system , comprising:a video camera configured to capture videos;a data memory configured to store video data from the video camera;an analysis server configured to analyze a status of each parking lot according to the video data obtained from the data memory;an information publishing device configured to publish status information on each parking lot; anda central management system configured to control operations of parts of the parking lot monitoring system.2. The system according to claim 1 , wherein the analysis server comprises:a patch extracting unit configured to extract a patch of the parking lot in the video data of a current frame;a judging unit configured to judge whether a patch status of the parking lot changes according to the patch of the parking lot in the video data of the current frame and the patch of the parking lot in the video data of a previous frame;a vehicle detecting unit configured to detect whether a vehicle parks on the parking lot when it is judged by the judging unit that the patch status of the parking lot changes; anda status ...

Method for object localization and pose estimation for an object of interest

A method for localizing and estimating a pose of a known object in a field of view of a vision system is described, and includes developing a processor-based model of the known object, capturing a bitmap image file including an image of the field of view including the known object, extracting features from the bitmap image file, matching the extracted features with features associated with the model of the known object, localizing an object in the bitmap image file based upon the extracted features, clustering the extracted features of the localized object, merging the clustered extracted features, detecting the known object in the field of view based upon a comparison of the merged clustered extracted features and the processor-based model of the known object, and estimating a pose of the detected known object in the field of view based upon the detecting of the known object.

Systems and Methods for Hair Loss Management

Comprehensive systems and methods for managing hair loss are provided which enable an individual experiencing hair loss, and/or the person consulting him or her, to manage it and to determine and efficiently plan any appropriate treatment options. Management of hair loss may comprise quantifying hair loss, determining what hair growth stimulation product or treatment to adopt and the best timing for such products and/or treatments, and allowing to track and manage any progress of the selected hair growth stimulation product or treatment. 1. A computer implemented method for determining and managing hair loss on a body surface , the method comprising:identifying regions on a body surface, the regions comprising a potential donor area and a potential recipient area;automatically determining proportion of terminal and/or non-terminal hair within the potential donor area and the potential recipient area;automatically analyzing proportions of classes of follicular units within the potential donor area;automatically analyzing proportions of classes of follicular units within the potential recipient area; andproposing one or more actions for managing hair loss based, at least in part, on the determined proportion of terminal and/or non-terminal hair, the proportions of classes of follicular units within the potential recipient area and the proportions of classes of follicular units within the potential donor area.2. The method of claim 1 , further comprising assigning a hair loss value to the body surface based on the identified regions.3. The method of claim 1 , wherein the one or more proposed actions comprises one or more of waiting a predetermined time until the method performed again claim 1 , application of a hair treatment product claim 1 , administering medicine claim 1 , application of a hair growth stimulation product claim 1 , or a hair transplantation procedure.4. The method of claim 1 , further comprising determining a density in the potential donor area and ...

DIGITAL SIGNAL PROCESSING FOR IMAGE FILTERING FIELD

A processor-implemented method and system of this disclosure are configured to correct or resolve artifacts in a received digital image, using a selection of one or more encompassment measures, each encompassing the largest artifact and an optional second smaller artifact. The processor herein is configured to calculate difference in Gaussians using blurred versions of the input digital image and optionally, the input digital image itself; to composite the resulting difference in Gaussians and the input digital image; and to determine pixels with properties of invariant values, also referred to as invariant pixels. The values in the properties of the invariant pixels are then applied to the artifacts regions to correct these artifacts, thereby generating the modified digital image in which the artifact regions are more or less differentiable to a human eye when compared with the digital image. 1. A processor-implemented method of processing a digital image to correct artifacts , the processor-implemented method comprising:a) receiving, at a processor from a buffer, a digital image comprising one or more artifact regions; i. a first selection of a first encompassment measure that encompasses a largest artifact region of the one or more artifact regions, and', 'ii. optionally, a second selection of a second encompassment measure that is lesser than the first encompassment measure;, 'b) receiving, at the processor,'} i. a copy of the digital image using the first encompassment measure to generate a first blurred image that is stored in the buffer; and', 'ii. optionally, a copy of the digital image using the second encompassment measure to generate a second blurred image is stored in the buffer;, 'c) blurring, by the processor,'} i. a first difference of Gaussians of either, the digital image or the optional second blurred image, from the first blurred image, and', 'ii. a second difference of Gaussians of the first blurred image from either, the digital image or the ...

SYSTEMS AND METHODS FOR AUTOMATED SEGMENTATION OF INDIVIDUAL SKELETAL BONES IN 3D ANATOMICAL IMAGES

Presented herein, in certain embodiments, are approaches for robust bone splitting and segmentation in the context of small animal imaging, for example, microCT imaging. In certain embodiments, a method for calculating and applying single and hybrid second-derivative splitting filters to gray-scale images and binary bone masks is described. These filters can accurately identify the split lines/planes of the bones even for low-resolution data, and hence accurately morphologically disconnect the individual bones. The split bones can then be used as seeds in region growing techniques such as marker-controlled watershed segmentation. With this approach, the bones can be segmented with much higher robustness and accuracy compared to prior art methods. 1. A method of performing image segmentation to automatically differentiate individual bones in an image of a skeleton or partial skeleton of a subject , the method comprising:receiving, by a processor of a computing device, an image of a subject;applying, by the processor, one or more second derivative splitting filters to the image to produce a split bone mask for the image;determining, by the processor, a plurality of split binary components of the split bone mask by performing one or more morphological processing operations;optionally, quantifying, by the processor, a volume of each split binary component and eliminating one or more components having unacceptably small volume; andperforming, by the processor, a region growing operation using the split bone mask components as seeds, thereby producing a segmentation map differentiating individual bones in the image.2. The method of claim 1 , wherein the one or more second derivative splitting filters comprises at least one member selected from the group consisting of a LoG (Laplacian of Gaussian) claim 1 , a HEH (highest Hessian eigenvalue claim 1 , with preliminary Gaussian filtering) claim 1 , and a LEH (lowest Hessian eigenvalue claim 1 , with preliminary Gaussian ...

METHOD AND SYSTEM FOR HEAD DIGITIZATION AND CO-REGISTRATION OF MEDICAL IMAGING DATA

A method for co-registering imaging data from two imaging sources, the method comprising: scanning a subject using a depth sensor to generate depth data; identifying, in the depth data, the locations of first fiducial points and second fiducial points of the scanned subject; receiving first imaging data including the locations of the first fiducial points; generating a first transform function based on the locations of the first fiducial points in both the depth data and the first imaging data; receiving second imaging data including the locations of the second fiducial points; generating a second transform function based on the locations of the second fiducial points in both the depth data and the second imaging data; and mapping the data points in the first imaging data to the data points in the second imaging data based on the first and second transform functions. 1. A method for co-registering imaging data , the method comprising:scanning a subject using a depth sensor to generate depth data;identifying, in the depth data, the locations of first fiducial points and second fiducial points of the scanned subject;receiving first imaging data including the locations of the first fiducial points;generating a first transform function for mapping data in a coordinate system of the first imaging data to data in a coordinate system of the depth data, the first transform function based on the locations of the first fiducial points in both the depth data and the first imaging data;receiving second imaging data including the locations of the second fiducial points;generating a second transform function for mapping data in a coordinate system of the second imaging data to data in the coordinate system of the depth data, the second transform function based on the locations of the second fiducial points in both the depth data and the second imaging data; andmapping the data points in the first imaging data to the data points in the second imaging data based on the first and ...

SPHERICAL LIGHTING DEVICE WITH BACKLIGHTING CORONAL RING

A method for capturing three-dimensional photographic lighting of a spherical lighting device is described. Calculation of boundaries of the spherical lighting device based on lighting properties of at least one light source in a set location of the spherical lighting device is performed. A mapping of multitude points of the spherical lighting device to three-dimensional vectors of at least one camera device using a logical grid is performed. A measurement of brightness of the logical grid of the spherical lighting device is performed. The method further comprises determining brightest grid point of the logical grid of the spherical lighting device, wherein the brightest grid point of the logical grid is measured within a region brightness of the spherical lighting device. The method further comprises calculating the region of brightness of the spherical lighting device based on the determined brightest grid point of the logical grid. 1. A method for capturing three-dimensional photographic lighting of a spherical lighting device , the method comprising:calculating, by one or more processors, boundaries of the spherical lighting device based on lighting properties of at least one light source in a set location of the spherical lighting device;mapping, by the one or more processors, multiple points of the spherical lighting device to three-dimensional vectors of at least one camera device using a logical grid of the spherical lighting device;automating, by the one or more process, a capture of the three dimensional vectors passively through differential reflection combined with image processing algorithms of the camera device or actively by incorporating sensors on surface of the spherical lighting device;measuring, by the one or more processors, brightness of the logical grid of the spherical lighting device;determining, by the one or more processors, a brightest grid point of the logical grid of the spherical lighting device, wherein the brightest grid point of the ...

METHOD AND DEVICE FOR DETECTING INTEREST POINTS IN IMAGE

The present invention provides a method and a device for detecting interest points in an image. The method includes: acquiring an original input image; performing down-sampling processing on the original input image, so as to obtain a plurality of sampling images with different resolutions; dividing each sampling image into a plurality of small image blocks; performing filtering processing on the plurality of small image blocks in each sampling image in sequence by using Laplacian-of-Gaussian filters, so as to obtain filtered images of the plurality of small image blocks in each sampling image; and acquiring interest points in an image in filtered images of the plurality of small image blocks in each sampling image. The present invention is used for solving the problems of more memory consumption and a low detection speed in the prior art. 1. A method for detecting interest points in an image , comprising:acquiring an original input image;performing down-sampling processing on the original input image, so as to obtain a plurality of sampling images with different resolutions;dividing each sampling image into a plurality of small image blocks;performing filtering processing on the plurality of small image blocks in each sampling image in sequence by using Laplacian-of-Gaussian filters, so as to obtain filtered images of the plurality of small image blocks in each sampling image; andacquiring interest points in an image in each sampling image, according to the filtered images of the plurality of small image blocks in each sampling image.2. The method according to claim 1 , wherein claim 1 , the dividing each sampling image into the plurality of small image blocks claim 1 , comprises:dividing each sampling image into a plurality of small square image blocks having a width of X and a height of Y, wherein, both X and Y are positive integers, if the small image block at the boundary of the sampling image has a width less than X or a height less than Y, then filling the ...

DETECTING SPECIFIED IMAGE IDENTIFIERS ON OBJECTS

Embodiments of the present application relate to a method, apparatus, and system for detecting a specified image identifier. The method includes retrieving a target image to be detected from a predetermined area, binarizing the target image to be detected to obtain a target binary image to be detected, calibrating connected domains of the target binary image to be detected, successively retrieving image features of candidate connected domains, and comparing the image features corresponding to the candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the connected domains, and determining a candidate connected domain as the location of the specified identifier image based at least in part on the comparison of the image features corresponding to the candidate connected domains to image features of the standard specified identifier image. 1. A method , comprising:retrieving a target image to be detected from a predetermined area;binarizing the target image to be detected to obtain a target binary image to be detected, wherein the target binary image to be detected corresponds to a binary image of the target image to be detected and a negative image of the binary image;calibrating a plurality of connected domains of the target binary image to be detected;retrieving a set of one or more image features of a plurality of candidate connected domains, and comparing the image features corresponding to the plurality of candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the plurality of connected domains; anddetermining a candidate connected domain among the plurality of candidate connected domains as a location of the specified identifier image based at least in part on the comparison of the image features ...

ELECTRONIC APPARATUS AND IMAGE PROCESSING METHOD

According to one embodiment, an electronic apparatus includes a processor. The processor aligns a second image with a first image, the first image including a subject captured from a first position, the second image including the subject captured from a position different from the first position. The processor calculates a first weight for each pixel in the first image and a second weight for each pixel in the aligned second image. The processor calculates a composite image by adding each pixel in the first image to the corresponding pixel in the aligned second image based on the first weight for each pixel in the first image and the second weight for each pixel in the aligned second image. 1. An electronic apparatus comprising:a processor configured to:align a second image with a first image, the first image comprising a subject captured from a first position, the second image comprising the subject captured from a position different from the first position;calculate a first evaluation value for each pixel in the first image;calculate a second evaluation value for each pixel in the aligned second image, each pixel in the aligned second image corresponding to each pixel in the first image; andcalculate a first weight for each pixel based on the first evaluation value for each pixel and a second weight for each pixel based on the second evaluation value for each pixel; andcalculate a composite image by adding each pixel in the first image to the corresponding pixel in the aligned second image based on the first weight for each pixel in the first image and the second weight for each pixel in the aligned second image.2. The electronic apparatus of claim 1 , wherein when the first evaluation value is larger than the second evaluation value claim 1 , a weight assigned to the pixel in the first image is larger than a weight assigned to the pixel in the second image.3. The electronic apparatus of claim 1 , wherein the processor is configured to:detect each pixel of the ...

SEMI-AUTOMATED HEART VALVE MORPHOMETRY AND COMPUTATIONAL STRESS ANALYSIS FROM 3D IMAGES

A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape. The regional leaflet stress distributions may be predicted in normal and diseased (regurgitant) mitral valves using the techniques of the invention. 1. A method of measuring or estimating stress distributions on heart valve leaflets , comprising:obtaining three-dimensional images of the heart valve leaflets;segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets; andapplying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets.2. The method of claim 1 , wherein the obtaining step comprises imaging the heart valve leaflets using echocardiography to obtain three-dimensional ultrasound images.3. The method of claim 1 , wherein segmenting the heart valve leaflets is performed manually with active contour evolution claim 1 , with multi-atlas segmentation claim 1 , or with ...

A Method of Determining an Indicator for the Stability of a Bone Implant

A method of determining an indicator for the stability of a bone implant comprises providing a two- or three-dimensional image mage of a bone at a location where a bone implant is planned. Then determining a bone structural parameter, which is typically representative of trabecular bone texture at said location, from the two- or three-dimensional image, by a texture analysis of a two- or three-dimensional grey scale image in a region of interest at said location where the bone implant is planned. Finally, an indicator for the stability of the planned bone implant after implantation is determined from the bone structural parameter and from implant stability data. 1. A method of determining an indicator for the stability of a bone implant , the method comprising the steps of:Providing a two- or three-dimensional image of a bone at a location where a bone implant is planned,Determining a bone structural parameter at said location from the two- or three-dimensional image,Providing implant stability data which is related to data representing the bone structural parameter, andDetermining, from the determined bone structural parameter and from said implant stability data, an indicator for the stability of the planned bone implant after implantation at said location.2. The method of claim 1 , wherein said bone implant is selected from the group consisting of a dental implant or an orthopaedic implant.3. The method of claim 1 , wherein said bone implant comprises a biomaterial claim 1 , such as a bone substitute.4. The method of claim 1 , wherein said bone implant comprises a screw of inert material in particular of titanium.5. The method of claim 1 , comprising determining said indicator of the stability of a bone implant as a primary stability claim 1 , which is the stability of the implant at the day of implanting the implant into the bone.6. The method of claim 1 , comprising determining said indicator of the stability of a bone implant as a secondary stability claim 1 , ...

DEVICE AND METHOD FOR BLOOD ANALYSIS BY IMAGE PROCESSING

The present application describes a new device and method of use thereof, which allows identifying certain antigens and antibodies present in the blood. The device of the present invention is a closed device consisting of two parts, wherein the upper part () comprises a chamber () surrounded by LEDs () illuminating the analysis plate (), which is supported by the rotating platform (). In turn, the rotating platform is connected to a motor () that will promote the rotation thereof for mixing reagents with blood. After a period of time, the camera () will capture and send the resulting image to a computer program that will analyze the sample, using image processing techniques. 1. Portable device for detecting immunological agglutination of blood samples comprising:an upper part closed with a lid, comprising a camera which is centered, surrounded by LEDs and connected to a laptop computer or other mobile device which analyzes the captured images by image processing techniques;a lower part, which in turn comprises a rotating platform connected to a motor where the analysis plate is fixed;a power supply.2. Device according to claim 1 , wherein the connection to the laptop computer or other mobile device is carried out via USB claim 1 , Wireless or Bluetooth.3. Device according to claim 1 , wherein the other mobile device comprises a mobile phone (smartphone) or a tablet.4. Device according to claim 1 , wherein the camera focuses directly on the rotating platform.5. Device according to claim 1 , wherein the upper part and the lower part of the device are connected by a hinge on one side and a lock on the opposite side.6. Device according to claim 1 , wherein the camera focuses directly on the analysis plate.7. Device according to claim 1 , wherein the analysis plate is sealed and transparent claim 1 , is a whole piece and comprises separate circular containers claim 1 , which are made of a sealing and impermeable material and having holes.8. Device according to claim 1 , ...