Настройки

Укажите год
-

Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

Подробнее
-

Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

Подробнее

Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Укажите год
Укажите год
Применить Всего найдено 33993. Отображено 100.
12-01-2012 дата публикации

Shadow Removal in an Image Captured by a Vehicle Based Camera Using a Non-Linear Illumination-Invariant Kernel

Номер: US20120008020A1
Автор: QI Wu, Wende Zhang
Принадлежит: GM GLOBAL TECHNOLOGY OPERATIONS LLC

A method is provided for removing an illumination generated shadow in a captured image. An image is captured by an image capture device. Each pixel of the captured image is represented by a respective color value in a logarithmic graph. A non-linear illumination-invariant kernel is determined. An illumination direction for each respective color set is determined in the logarithmic graph that is orthogonal to the non-linear illumination-invariant kernel. A log-chromaticity value of each plotted pixel is projected on the non-linear illumination-invariant kernel. Edges are identified in the input image. Edges are identified in the illumination-invariant image domain. The identified edges are compared. A determination is made whether a shadow is present in response to an edge identified in the input image and an absence of a correlating edge in the illumination-invariant image domain. A shadow-reduced image is generated for scene analysis by a vehicle vision-based system.

Подробнее
Номер записи: 1
15-03-2012 дата публикации

Systems and methods for multilayer imaging and retinal injury analysis

Номер: US20120065518A1
Автор: Ahad Fazelat, Kameran Lashkari, Mukund Desai, Rami Mangoubi
Принадлежит: Charles Stark Draper Laboratory Inc, Schepens Eye Research Institute Inc

Systems and methods are provided for imaging an eye and identifying retinal or subretinal features that may be indicative of pathologies such as macular degeneration and traumatic brain injury. An infrared or near-infrared image of an eye is interdependently smoothed and segmented and attributes of the image are determined. The attributes are indicative of retinal or subretinal features.

Подробнее
Номер записи: 2
29-03-2012 дата публикации

Image processing apparatus, image processing method, and computer-readable recording medium

Номер: US20120076419A1
Автор: Makoto Kitamura, Masashi Hirota, Takashi Kono, Takehiro Matsuda, Yamato Kanda
Принадлежит: Olympus Corp

An image processing apparatus includes a gradient magnitude calculating unit that calculates a gradient magnitude of each pixel on the basis of pixel values of a target image in which a predetermined target object is imaged; a candidate-edge detecting unit that detects contour-candidate edge positions on the basis of the gradient magnitude of each pixel; a reference-range setting unit that sets a reference range, which is to be referred to when a contour edge position is selected from among the contour-candidate edge positions, on the basis of the gradient magnitude of each pixel; and a contour-edge selecting unit that selects, as the contour edge position, one of the contour-candidate edge positions in the reference range.

Подробнее
Номер записи: 3
29-03-2012 дата публикации

3-dimensional (3d) ultrasound system using image filtering and method for operating 3d ultrasound system

Номер: US20120078102A1
Автор: Kwang-Hee Lee
Принадлежит: Samsung Medison Co Ltd

Provided are a 3-dimensional (3D) ultrasound system using image filtering and a method for operating the 3D ultrasound system. The 3D ultrasound system using image filtering may include a scanning unit to generate a volume image of an object, a detecting unit to detect a contour line in each of ‘n’ first slice images extracted from the volume image, ‘n’ being a natural number, and a rendering control unit to correct the ‘n’ first slice images into ‘n’ second slice images by removing a non-feature region based on the contour line, and to combine and render the ‘n’ second slice images.

Подробнее
Номер записи: 4
07-06-2012 дата публикации

Microscope, region determining method, and program

Номер: US20120140055A1
Автор: Goh Matsunobu, Ryu Narusawa
Принадлежит: Sony Corp

A microscope includes a dark-field illumination system that irradiates dark-field illumination light to a preparation in which a specimen is encapsulated between slide glass and cover glass by using an encapsulant, and an imaging unit that takes a dark-field image of the preparation irradiated with the dark-field illumination light. The microscope further includes a region determiner that detects the boundary between the encapsulant and air included between the slide glass and the cover glass based on the taken dark-field image and determines a region other than a region of the air as a region of interest for the specimen.

Подробнее
Номер записи: 5
21-06-2012 дата публикации

method and system of determining a grade of nuclear cataract

Номер: US20120155726A1
Автор: Huiqi Li, Jiang Jimmy Liu, Joo Hwee Lim, Ngan Meng Tan, Shijian Lu, Tien Yin Wong, Wing Kee Damon Wong, Zhuo Zhang
Принадлежит: Agency for Science Technology and Research Singapore, NATIONAL UNIVERSITY OF SINGAPORE, SINGAPORE HEALTH SERVICES Pte Ltd (A Co ORGANIZED EXISTING UNDER LAWS OF SINGAPORE)

A method for determining a grade of nuclear cataract in a test image. The method includes: (1a) defining a contour of a lens structure in the test image, the defined contour of the lens structure comprising a segment around a boundary of a nucleus of the lens structure; (1b) extracting features from the test image based on the defined contour of the lens structure in the test image; and (1c) determining the grade of nuclear cataract in the test image based on the extracted features and a grading model.

Подробнее
Номер записи: 6
28-06-2012 дата публикации

Blur detection with local sharpness map

Номер: US20120162527A1
Автор: Daniel G. Baker
Принадлежит: Tektronix Inc

A single-ended blur detection probe and method with a local sharpness map for analyzing a video image sequence uses two sets of edge filters, one for “fast edges” and the other for “slow edges.” Each set of edge filters includes a horizontal bandpass filter, a vertical bandpass filter and a pair of orthogonal diagonal filters where the frequency response of the fast edge filters overlap the frequency response of the slow edge filters. The video image sequence is input to each filter of each set, and the output absolute values are combined with weighting factors to produce a slow edge weighted sum array and a fast edge weighted sum arra. The respective weighted sum arrays are then decimated to produce a slow edge decimated array and a fast edge decimated array. The ratio of the maximum difference value between the decimated arrays and the maximum value from the fast edge decimated array, weighted by an appropriate factor, produces a localized maximum sharpness value, the log of which produces a dimensionless blur value.

Подробнее
Номер записи: 7
28-06-2012 дата публикации

Motion capture apparatus and method

Номер: US20120163675A1
Автор: Bon-Ki Koo, Han-Byul Joo, Ji-Hyung Lee, Seong-Jae Lim
Принадлежит: Electronics and Telecommunications Research Institute ETRI

Disclosed herein is a motion capture apparatus and method. The motion capture apparatus includes a three-dimensional (3D) appearance reconstruction unit for reconstructing a 3D appearance of an entity using a multi-view image obtained by capturing the entity at a T+1-th frame. A 3D skeleton generation unit generates a 3D skeleton of the T+1-th frame using the 3D appearance and a model of the entity having a motion of a T-th frame. A motion reconstruction unit reconstructs a motion of the T+1-th frame of the model by changing the motion of the model based on the 3D skeleton of the T+1-th frame.

Подробнее
Номер записи: 8
16-08-2012 дата публикации

Medical imaging system

Номер: US20120207377A1
Автор: Amit Kale, Hari Sundar, Vipin Gupta
Принадлежит: Siemens Corp, Siemens Information Systems Ltd

A medical imaging system for processing an original medical image is provided. The system includes a seed generator for receiving the original medical image representing an original blood vessel and to generate coarse seeds on a basis of vesselness feature in respect to every pixel of the original blood vessel represented by the medical image, and a seed processor for receiving the coarse seeds and for processing the coarse seeds to select a set of refined seeds on a basis of the regression profile for each of the coarse seed by using random forest classification, such that the set of refined seeds are selected from the coarse seeds such that the set of refined seeds adapted to lie on a corrected blood vessel.

Подробнее
Номер записи: 9
30-08-2012 дата публикации

Computer-readable storage medium, image recognition apparatus, image recognition system, and image recognition method

Номер: US20120219227A1
Автор: Satoru Osako
Принадлежит: Nintendo Co Ltd

First, a difference between a pixel value of a first pixel in an image and a pixel value of a second pixel is calculated, the second pixel placed a predetermined number of pixels away from the first pixel. Then, when the difference is equal to or greater than a predetermined value, an edge determination threshold is calculated on the basis of: the pixel value of the first pixel or a pixel value of a pixel near the first pixel; and the pixel value of the second pixel or a pixel value of a pixel near the second pixel. Then, an edge pixel corresponding to an edge present between the first pixel and the second pixel is detected by comparing the edge determination threshold with a pixel value of each pixel placed between the first pixel and the second pixel.

Подробнее
Номер записи: 10
13-09-2012 дата публикации

Method and system for image analysis of selected tissue structures

Номер: US20120232375A1
Автор: Ali Ghasemzadeh, Aloys Mbala, Anne Bohte, Ego Seeman, Eleanor Mackie, Roger Zebaze
Принадлежит: Straxcorp Pty Ltd

A method for analysing a sample comprising a first material and a second material of generally different densities and having a junction therebetween, the method comprising defining a region of interest in a cross sectional image of at least a portion of the sample that includes said junction, determining a density profile of the sample within the region of interest and crossing the junction, determining a representative density of said second material, and analysing said sample using said junction used to distinguish said first and second materials.

Подробнее
Номер записи: 11
20-09-2012 дата публикации

Network construction apparatus, method and program

Номер: US20120237094A1
Автор: Yoshiro Kitamura, Yuichi Kurihara
Принадлежит: Fujifilm Corp

A likelihood of a cross segment is calculated based on a cross segment characteristic condition defining a characteristic that a portion corresponding to an intermingled portion of a structure is present as a cross segment, and that at least two pairs of segments connectable in a straight line are present in the neighborhood of the cross segment. A likelihood of a straight line representing a probability that each segment is connected, in a straight line, to another segment is calculated based on a straight line connection condition defining a characteristic that each segment is connected, in a straight line, to another segment in the neighborhood thereof. A strength of connection between the segments is set based on the likelihood of a cross segment and the likelihood of a straight line, and plural network structures are constructed by connecting the segments based on the strength of connection.

Подробнее
Номер записи: 12
04-10-2012 дата публикации

Image processing determining apparatus

Номер: US20120249399A1
Автор: Masayuki Sato
Принадлежит: Honda Motor Co Ltd

An edge image generator in an image processing determining apparatus extracts multiple edges from an image included in display data output from an external device, such as a terminal unit, a navigation unit, or an imaging unit. Then, the edge image generator selects certain edges from the extracted multiple edges by a certain selection method matched with characteristics of the external device to generate an edge image.

Подробнее
Номер записи: 13
04-10-2012 дата публикации

Detection of low contrast for image processing

Номер: US20120250999A1
Автор: Florian Ciurea, Kensuke Miyagi, Pingshan Li
Принадлежит: Sony Corp

There are many applications that conduct both generation of contrast or complexity level and motion estimation for video processing. The applications often use a block matching technique. An embedded system such as a personal digital camera is an example of such an application. Additionally, comparison of error differences around the location of minimum error in a motion estimation error table is able to be used to determine low contrast in a scene.

Подробнее
Номер записи: 14
06-12-2012 дата публикации

Ultrasonic diagnostic device, and method for measuring intima-media thickness

Номер: US20120310086A1
Автор: Akihiro Kawabata, Kazuya Takagi, Takao Suzuki, Takenori Fukumoto
Принадлежит: Panasonic Corp

The present invention provides a method for detecting lumen and adventitia boundaries and measuring an intima-media thickness without depending on the magnitudes of echo intensity variations on the lumen and adventitia sides. The ultrasonic diagnostic apparatus transmits an ultrasonic wave toward a body and obtains biological information based on an echo signal received and includes: an intensity distribution generating section that generates an echo intensity distribution in a depth direction about a vascular wall based on the echo signal; a template generating section that generates a template to detect a boundary based on template data provided in advance to represent a reference pattern of the intensity distribution; a pattern similarity calculating section that changes the depth and intima-media thickness pattern of the template to calculate similarity between the template and the intensity distribution on any change made; and a boundary defining section that defines lumen and adventitia boundaries based on the degree of similarity calculated on any change made.

Подробнее
Номер записи: 15
20-12-2012 дата публикации

Methods and apparatus for assessing activity of an organ and uses thereof

Номер: US20120323108A1
Автор: Robert G. Carroll
Принадлежит: QUANTITATIVE IMAGING Inc

Methods and apparatus are provided for imaging activity of an organ of a subject for diagnosis and prognosis of pathology or injury to the organ, where unaffected portions of the organ are used as a reference for assessing activity of afflicted areas of the organ.

Подробнее
Номер записи: 16
03-01-2013 дата публикации

Systems and methods for sample display and review

Номер: US20130002847A1
Автор: Adam Yie, David Zahniser, Michael Zahniser
Принадлежит: Constitution Medical Inc

Methods and systems for displaying images of cells in a sample include obtaining a plurality of images of cells in the sample, where each image corresponds to one of the cells in the sample, determining values of at least one property for each of the cells based on the plurality of images, arranging the plurality of images to form a first image array, where the images are ordered in the first image array based on the values of the at least one property, displaying the first image array, sorting the plurality of images to form a second image array in which an ordering of the images is different from the first image array, and displaying the second image array, where the sample includes blood and the cells include red blood cells.

Подробнее
Номер записи: 17
24-01-2013 дата публикации

Image data segmentation

Номер: US20130021372A1
Автор: Daniel Bystrov, Heinrich Schulz, Rafael Wiemker, Thomas Buelow, Torbjoern Vik
Принадлежит: KONINKLIJKE PHILIPS ELECTRONICS NV

A method for segmenting image data includes identifying a 2D boundary start position corresponding to tissue of interest in a cross-section of volumetric image data, wherein the start position is identified by a current position of a graphical pointer with respect to the cross-section, generating a preview 2D boundary for the tissue of interest based on the start position, displaying the preview 2D boundary superimposed over the cross-section, and updating the displayed preview 2D boundary if the position of the graphical pointer changes with respect to the cross-section.

Подробнее
Номер записи: 18
18-04-2013 дата публикации

Apparatus and method for correcting lesion in image frame

Номер: US20130094766A1
Автор: Chu-Ho Chang, Moon-Ho Park, Yeong-kyeong Seong
Принадлежит: SAMSUNG ELECTRONICS CO LTD

An apparatus for extracting a candidate image frame includes a generating unit configured to generate at least one lesion value that represents a characteristic of a lesion included in each of a plurality of 2-dimensional image frames that form a 3-dimensional image, and an extracting unit configured to extract, from the image frames, at least one candidate image frame usable for correcting a boundary of the lesion based on the at least one lesion value.

Подробнее
Номер записи: 19
25-04-2013 дата публикации

Generating a composite score for a possible pallet in an image scene

Номер: US20130101204A1
Автор: Edwin R. Elston, John-David S. YODER, Lee F. Holeva, Michael J. Seelinger
Принадлежит: Crown Equipment Corp

A method is provided for evaluating a possible pallet object in a gray scale image including one or more pallets. The method may comprise: generating, by a computer, a first confidence score Score LowerLeftCorner for a lower left corner associated with the possible pallet object; generating, by the computer, a second confidence score Score LowerRightCorner for a lower right corner associated with the possible pallet object; generating, by the computer, a third confidence score Score BaseboardLine for a bottom pallet board line associated with the possible pallet object; generating, by the computer, a fourth confidence score Score hole for a center stringer associated with the possible pallet object; and calculating, by the computer, a composite score Score Object based on the first, second, third and fourth confidence scores.

Подробнее
Номер записи: 20
02-05-2013 дата публикации

Automated building detecting

Номер: US20130108148A1
Автор: John T. Crews, Vernon R. Goodman
Принадлежит: Raytheon Co

In one aspect, a computerized method to automatically detect buildings includes determining if each point of a set of filtered points is on a line by processing the set of filtered points in one pass including a) locating a first point of the set of filter points nearest to a second point of the set of filtered points, b) determining if the distance between the first point and the second point is greater than a distance threshold; c) determining if the first point and the second point have collinearity greater than a collinearity threshold; and d) designating the first point as an endpoint of a line that includes the second point if the distance between the first point and the second point is greater than the distance threshold and if the first point and the second point have collinearity greater than the collinearity threshold.

Подробнее
Номер записи: 21
16-05-2013 дата публикации

Edge-Based Approach for Interactive Image Editing

Номер: US20130121593A1
Автор: Jue Wang, Shulin Yang
Принадлежит: Adobe Systems Inc

A method, system, and computer-readable storage medium are disclosed for aligning user scribbles to edges in an image. A plurality of edges in the image may be determined. User input comprising a scribble may be received, wherein the scribble comprises a freeform line overlaid on the image. The scribble may be automatically aligned to one or more of the edges in the image.

Подробнее
Номер записи: 22
23-05-2013 дата публикации

Methods and Apparatus for Chatter Reduction in Video Object Segmentation Using a Variable Bandwidth Search Region

Номер: US20130129156A1
Автор: Daniel M. Wilk, David P. Simons, Jue Wang, XUE Bai
Принадлежит: Adobe Systems Inc

Systems, methods, and computer-readable storage media for chatter reduction in video object segmentation using a variable bandwidth search region. A variable bandwidth search region generation method may be applied to a uniform search region to generate a variable bandwidth search region that reduces the search range for segmentation methods such as a graph cut method. The method may identify parts of the contour that are moving slowly, and reduce the search region bandwidth in those places to stabilize the segmentation. This method may determine a bandwidth for each of a plurality of local windows of an image according to an estimate of how much an object in the image has moved from a previous image. The method may blend the bandwidths for the plurality of local windows to generate a blended map. The method may then generate a variable bandwidth search region for an object according to the blended map.

Подробнее
Номер записи: 23
23-05-2013 дата публикации

Edge tracing with hysteresis thresholding

Номер: US20130129225A1
Автор: Anil Sripadarao, Bijesh Poyil
Принадлежит: Analog Devices Inc

A method for tracing edges of an image using hysteresis thresholding includes: (i) receiving an edge map of the image, (ii) scanning one row of the input edge map, (iii) assigning a label to each edge pixel in the row based at least in part on the presence or absence of a neighboring edge pixel, (iv) grouping contiguous labels, and (v) identifying groups of edge pixels.

Подробнее
Номер записи: 24
06-06-2013 дата публикации

Image processing method

Номер: US20130141273A1
Автор: Paul Steven Cooper, Simon Richard Potter
Принадлежит: MBDA UK Ltd

An image processing method using an algorithm which incorporates simulated annealing by parallel Markov chains, the calculation of fitness values of states of the Markov chains which have substantially the same simulated annealing temperature, the calculation of the standard deviation of these fitness values, and the use of this standard deviation in setting the simulated annealing cooling schedule. The method may be used to delineate an object of interest in an image against a background by estimating the boundary of the object and optimising the fit of the region within this boundary to the region occupied by the object.

Подробнее
Номер записи: 25
20-06-2013 дата публикации

Method for removing noise of image

Номер: US20130156337A1
Автор: In Taek Song, Kyoung Joong Min, Tae Hyeon Kwon
Принадлежит: Samsung Electro Mechanics Co Ltd

A method for removing noise of an image. The method includes: (a) detecting a horizontal edge by applying a horizontal edge detection filter to a predetermined pixel field including a notice pixel and neighboring pixel in a vertical direction in image data; (b) judging whether horizontal line noise exists in the predetermined pixel field through the horizontal edge; (c) calculating the number of pixels determined as the horizontal line noise for each horizontal line of the image data by applying steps (a) and (b) to all horizontal lines of the image data; and (d) removing the horizontal line noise by applying a low pass filter to the horizontal line judged to have the horizontal line noise according to the calculation result of step (c).

Подробнее
Номер записи: 26
04-07-2013 дата публикации

Computing device and method for scanning edges of an object

Номер: US20130169975A1
Автор: Chih-Kuang Chang, Dong-Hai Li, LI Jiang, Zhi-Jun Zou, Zhong-Kui Yuan
Принадлежит: Hon Hai Precision Industry Co Ltd, Hongfujin Precision Industry Shenzhen Co Ltd

In a method for scanning edges of an object using a computing device, the computing device is connected to an image measuring machine including an image capturing device. A start point, an end point, a scan direction, and a scan distance interval are set. Scan points on the edges of the object are determined. For each scan point, the computing device aims the image capturing device at the scan point, controls the image capturing device to capture images of the object at different depths, and records focal points. Definition values of the images are calculated and an image with a highest definition value is determined. A focal point corresponds to the image with the highest definition value and so coordinates of the scan point are determined. Scanned edges of the object are formed based on all the scan points.

Подробнее
Номер записи: 27
04-07-2013 дата публикации

Edge detection apparatus, program and method for edge detection

Номер: US20130170756A1
Автор: Koichi Shibasaki
Принадлежит: Dwango Co Ltd

In the conventional technology for edge detection by normalizing brightness value of a target pixel C for edge determination and brightness of peripheral blocks of the target pixel C, an effect on an image due to a camera lens has not been considered. Specifically, the camera lens has a circular shape and the photographed image is basically formed by circularly collected light. In the conventional technology, however, it has been difficult to carry out high-precision edge detection due to rectangular shape of the peripheral blocks. In order to solve the above deficiency, in an aspect of the present invention provides an edge detection apparatus having a function of weighting the pixel values in the ‘peripheral area’ to be compared with the target pixel C for edge determination, such that the peripheral area has the circular shape.

Подробнее
Номер записи: 28
18-07-2013 дата публикации

Systems and methods for mobile image capture and processing

Номер: US20130182959A1
Автор: Alexander Shustorovich, Anthony Macciola, Christopher W. Thrasher
Принадлежит: Kofax Inc

In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. Myriad features enable and/or facilitate processing of such digital images using a mobile device that would otherwise be technically impossible or impractical, and furthermore address unique challenges presented by images captured using a camera rather than a traditional flat-bed scanner, paper-feed scanner or multifunction peripheral.

Подробнее
Номер записи: 29
22-08-2013 дата публикации

Image processing apparatus and image processing method

Номер: US20130216137A1
Автор: Koji Washio
Принадлежит: KONICA MINOLTA INC

An image processing apparatus includes a first edge extraction unit, an edge processing unit, a second edge extraction unit, a third edge extraction unit and a gradation processing unit. The gradation processing unit performs gradation processing on image data on which edge processing has been performed by the edge processing unit, and switches contents of the gradation processing on the basis of whether a pixel of the image data is a third edge pixel or a no-third edge pixel to enhance a third edge region as compared with another region. The third edge extracted by the third edge extraction unit is constituted of a first edge extracted by the first edge extraction unit as an edge pixel of an object and a second edge extracted by the second edge extraction unit as a pixel having a pixel value changed by the edge processing.

Подробнее
Номер записи: 30
29-08-2013 дата публикации

Method and system for determining a boundary surface network

Номер: US20130223748A1
Автор: Dominik BERNHARDT, Jan Kretschmer, Thomas Beck
Принадлежит: SIEMENS AG

A method is disclosed for determining a boundary surface network of a tubular object. An ordered series of contours is first supplied on the basis of image data in a source space. A transformation function is created for at least two consecutive contours in the series, and a unit space segment object is created in the unit space on the basis of the consecutive contours. A local signed distance function is determined in the unit space. In addition, a relative positional information of a query point is determined in the source space from a surface of a segment object in the source space, the segment object being based on the consecutive contours, on the basis of the local signed distance function in the unit space and using the transformation function. Finally, the boundary surface network is created on the basis of the relative positional information that has been determined.

Подробнее
Номер записи: 31
19-09-2013 дата публикации

Image processing apparatus

Номер: US20130243280A1
Автор: Wataru Takahashi
Принадлежит: Shimadzu Corp

An image process apparatus is operative to obtain an image with high visual recognition property. A linear structural object incorporated into the original image is distinguished by two methods. A first method produces an evaluation image (P 3 ) that evaluates whether each pixel is a linear structural object in the original image. A second method produces the difference image (P 6 ) incorporating a linear structural object by obtaining the difference between the linear structural object incorporated into the original image and the portion other than the linear structural object. Since the linear structural object in the original image is extracted from an original image (P 0 ) holding the contrasting density in the original image based on the two images related to the linear structural object produced by such different methods, and the apparatus provides an image having high visual recognition property.

Подробнее
Номер записи: 32
26-09-2013 дата публикации

Method and a device for objects counting

Номер: US20130251197A1
Автор: Feng Wang, Guoyi Liu, Hongming ZHANG, Shaopeng Tang, Wei Zeng
Принадлежит: NEC China Co Ltd

A method and a device for objects counting in image processing includes acquiring the depth image of any one frame; detecting objects according to the depth image; associating the identical object in different frames to form a trajectory; and determining the number of objects according to the number of trajectories. The devices include an acquisition module for acquiring the depth image of any one frame; a detection module for detecting objects according to the depth image; an association module for associating the identical object in different frames to form a trajectory; a determining module for determining the number of objects according to the number of trajectories. The objects are detected according to the depth image. The identical object in different frames is associated to form a trajectory and the number of objects is determined according to the number of trajectories.

Подробнее
Номер записи: 33
10-10-2013 дата публикации

Region specification method, region specification apparatus, recording medium, server, and system

Номер: US20130266224A1
Автор: Akira Hamada
Принадлежит: Casio Computer Co Ltd

A region specification method is provided of specifying a subject region including a subject from a subject existing image in which a background and the subject exist. The region specification method including: calculating an image boundary pixel number of an image boundary of the subject existing image constituting an edge part of each of divided regions into which the subject existing image is divided by a borderline defined on the subject existing image; specifying, from the divided regions, a reference region having a pixel percentage equal to or more than a predetermined percentage, the pixel percentage indicating the calculated image boundary pixel number in a total pixel number of the edge part; and specifying the subject region from the divided regions of the subject existing image by taking the reference region specified in the specifying the reference region as a reference.

Подробнее
Номер записи: 34
19-12-2013 дата публикации

Detection of anatomical landmarks

Номер: US20130336553A1
Автор: Aashiish Nmi Agnihotri, Brian W. McKinnon, Mark Ellsworth Nadzadi, Mark Joseph Buisseret, Megan Patrice Rumery
Принадлежит: Smith and Nephew Inc

A method includes accessing image data representing tissue and identifying one or more features of the tissue indicated by the image data. A model is selected for the tissue based on the one or more identified features. The image data is segmented and, using the model, one or more anatomical landmarks of the tissue indicated by the segmented image data are identified.

Подробнее
Номер записи: 35
02-01-2014 дата публикации

Semiconductor circuit pattern measuring apparatus and method

Номер: US20140003703A1
Автор: Kei Sakai, Michio Oikawa, Satoru Yamaguchi, Takuma Shibahara
Принадлежит: Hitachi High Technologies Corp

Included is a multiple resolution image generating unit which applies a plurality of noise removing filters to a semiconductor circuit pattern image and generates a multiple resolution image, a multiple resolution differential image generating unit which generates a multiple resolution differential image from a difference of images between hierarchies of the multiple resolution image, and a contour extracting unit which extracts a contour of the semiconductor circuit pattern based on an intensity signal of the semiconductor circuit pattern image. The contour extracting unit calculates an intensity signal level upon extracting a contour of the semiconductor circuit pattern from the multiple resolution image by using an image signal of the multiple resolution differential image, and extracts a contour of the semiconductor circuit pattern based on the calculated intensity signal level.

Подробнее
Номер записи: 36
16-01-2014 дата публикации

Application of Filters Requiring Face Detection in Picture Editor

Номер: US20140015854A1
Автор: Hans Rikard SAMVIK, Nils Johan Petter Montan
Принадлежит: Research in Motion Ltd

An electronic device and method of operation, the electronic device including at least one processor communicatively coupled to a display and memory, the processor configured for filtering a facial image rendered on the display. In an illustrative embodiment, the at least one processor is configured to generate a boundary around the facial image, the boundary having 2-dimensional x and y coordinates relative to boundaries of the display; store the coordinates in memory; in response to at least one of a cropping and moving of the image, recalculate the coordinates to match a new transform setting; and apply an effect to the facial image based on the updated coordinates.

Подробнее
Номер записи: 37
16-01-2014 дата публикации

Method for directional adaptive image interpolation and an electronic device thereof

Номер: US20140016878A1
Автор: Han-Sae SONG, Jae-Hwan Jeon, Joon-Ki Paik, Min-Kyu Park, Won-Seok Kang, Yong-gu Lee, Young-Kwon Yoon, Young-Sam Yu
Принадлежит: Industry Academic Cooperation Foundation of Chung Ang University, SAMSUNG ELECTRONICS CO LTD

A method of operating an electronic device for image interpolation is provided. The method includes estimating a direction of pixels using a plurality of filters respectively corresponding to a plurality of angles, correcting the direction of the pixels using a direction of neighboring pixels, determining whether the direction estimation has an error according to a direction distribution of the neighboring pixels, and when the direction estimation is determined to have error, correcting the error in the direction estimation.

Подробнее
Номер записи: 38
30-01-2014 дата публикации

Method and apparatus for determining blood flow required, method and apparatus for producing blood flow image, and method and apparatus for processing myocardial perfusion image

Номер: US20140029835A1
Автор: Hyong Euk Lee, Ji Yeon Kim, Kyung Hwan Kim, Na Hyup Kang, Sang Wook Kim
Принадлежит: SAMSUNG ELECTRONICS CO LTD

A method of determining a required blood flow includes obtaining morphological information of a coronary artery in a cardiac image, segmenting the cardiac image into at least one myocardial region based on the morphological information of the coronary artery, and determining a blood flow required for each of the at least one myocardial region.

Подробнее
Номер записи: 39
30-01-2014 дата публикации

Systems and methods for multi-dimensional object detection

Номер: US20140029852A1
Автор: Kishore Jonna, Radha Krishna Pisipati, Rudra Narayan Narayan, Shahanaz SYED, Subhadip Bandyopadhyay
Принадлежит: Infosys Ltd

Systems and methods for multi-dimensional object detection are described. Embodiments disclose receiving image frames, extracting image components in the image frame, identifying line segments in the extracted components, grouping the line segments into groups, based at least in part on one or more similarities between the slope associated with a line segment and the spatial proximity between the line segments, and merging each of the one or more identified line segments in a selected group into a single line segment. Embodiments additionally disclose detecting the position of one or more objects in the image frame by identifying objects in the image frame, producing a second version of the image frame, applying at least one image classifier to the image frame and the second version of the image frame, and identifying coordinates associated with at least one target object. Some embodiments additionally couple lane and object detection with alert generation.

Подробнее
Номер записи: 40
13-02-2014 дата публикации

3d object delineation

Номер: US20140044316A1
Автор: Dale Norton, James Lowell, Jonathan HENDERSON, Steven Purves
Принадлежит: Foster Findlay Associates Ltd

Disclosed is a method of 3D object delineation from 3D seismic data comprising the steps of providing 3D seismic data ( 144,200,300 ; processing the data ( 210,310 ) based on at least one characteristic ( 320 ) whereby said characteristic is extracted from the data and compared with at least one reference characteristic and delineated ( 330 ) based on the comparison, and defining a geological element ( 340 ) based on the delineation. The characteristics ( 320 ) may be adjusted. Data can be processed ( 210,310 ) based on one characteristic ( 222,232 ) then processed based on a second characteristic ( 224,234 ) or data is processed based on two characteristics substantially simultaneously ( 252 ). Data may be processed n times ( 246 ) producing n delineations from which the geological element is defined ( 260 ). An algorithm is provided for processing the data which may shift an evolving shape description of an object between explicit ( 222,234 ) and implicit ( 224,232 ) representations, where each shift applies a transformation to the object. Multiple sources of data ( 200,200′, 200 ″) may be utilised simultaneously to drive the delineation process.

Подробнее
Номер записи: 41
20-03-2014 дата публикации

Region extraction apparatus, method and program

Номер: US20140079306A1
Автор: Tsutomu Inoue
Принадлежит: Fujifilm Corp

A three-dimensional medical image obtainment unit that obtains a three-dimensional medical image of a chest, a bronchial structure extraction unit that extracts a bronchial structure from the three-dimensional medical image, a divided lung region obtainment unit that divides, based on the divergence of the bronchial structure, the bronchial structure into plural bronchial structures, and obtains plural divided lung regions based on the plural divided bronchial structures, a distance image generation unit that generates, based on the plural divided lung regions, a distance image based on a distance between each voxel in an entire region excluding at least one of the plural divided lung regions and each of the plural divided lung regions, and a border non-existing region extraction unit that extracts, based on the distance image generated by the distance image generation unit, a border non-existing region, which does not include any borders of the divided lung regions, are provided.

Подробнее
Номер записи: 42
04-01-2018 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM THEREFOR

Номер: US20180000338A1
Автор: Imamura Hiroshi
Принадлежит:

Provided is an image processing apparatus configured to process an image of a fundus of an eye to accurately measure thicknesses of membranes that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points; and a measuring position acquiring unit configured to identify a measuring position regarding the wall of the blood vessel based on a position of the identified cell. 1. An image processing apparatus , comprising:an image acquiring unit configured to acquire an image of an eye;a vessel feature acquiring unit configured to acquire membrane candidate points that form a wall of a blood vessel based on the acquired image;a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points; anda measuring position acquiring unit configured to identify a measuring position regarding the wall of the blood vessel based on a position of the identified cell.2. An image processing apparatus according to claim 1 , wherein the measuring position acquiring unit is further configured to identify the measuring position based on a distance from a predetermined position within the cell identified in at least one membrane.3. An image processing apparatus according to claim 1 , further comprising a measuring unit configured to calculate at least one of a membrane thickness claim 1 , a compound membrane thickness claim 1 , and a wall thickness of the blood vessel in the identified measuring position as a measurement value regarding the wall of the blood vessel.4. An image processing apparatus according to claim 3 , wherein the measuring unit is further ...

Подробнее
Номер записи: 43
06-01-2022 дата публикации

METHOD OF PROCESSING PICTURE, COMPUTING DEVICE, AND COMPUTER-PROGRAM PRODUCT

Номер: US20220005151A1
Автор: CHEN Simin, Li Jie, YAN Biao, Yao Shi
Принадлежит: SHANGHAI HODE INFORMATION TECHNOLOGY CO., LTD.

A method is provided. The method includes: obtaining a picture to be processed, where the picture to be processed includes a plurality of pixels, and the plurality of pixels comprise first pixels for forming an image and second pixels for forming an image background; rotating the picture to be processed, where for each rotation angle, an intermediate picture is obtained; selecting at least two pictures from the picture to be processed and several intermediate pictures for calculating an area of a bounding box surrounding the image respectively; and removing second pixels outside the bounding box in a picture with the smallest area of bounding box to obtain a processed picture. 1. A method , comprising:obtaining a picture to be processed, wherein the picture to be processed comprises a plurality of pixels, and the plurality of pixels comprise first pixels for forming an image and second pixels for forming an image background;rotating the picture to be processed, wherein for each rotation angle, an intermediate picture is obtained;selecting at least two pictures from the picture to be processed and several intermediate pictures for calculating an area of a bounding box surrounding the image respectively; andremoving second pixels outside the bounding box in a picture with the smallest area of bounding box to obtain a processed picture.2. The method of claim 1 , wherein the rotating the picture to be processed comprises rotating the picture to be processed at a predetermined interval angle within a predetermined angle range claim 1 , andwherein the selecting at least two pictures from the picture to be processed and several intermediate pictures comprises selecting all pictures from the picture to be processed and the several intermediate pictures.3. The method of claim 1 , wherein coordinates of the pixels in a first direction are first coordinates claim 1 , and coordinates in a second direction are second coordinates claim 1 , wherein the first direction is ...

Подробнее
Номер записи: 44
06-01-2022 дата публикации

IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE, ELECTRONIC DEVICE AND STORAGE MEDIUM

Номер: US20220005163A1
Автор: Li Qing, XU Qingsong
Принадлежит: HANGZHOU GLORITY SOFTWARE LIMITED

An image processing method, an image processing device, an electronic device, and a non-transitory computer readable storage medium are provided. The image processing method includes: obtaining an input image which includes M character rows; performing global correction processing on the input image to obtain an intermediate corrected image; determining the M character row lower boundaries corresponding to the M character rows according to the intermediate corrected image; and determining the local adjustment reference line and M retention coefficient groups based on the intermediate corrected image and the M character row lower boundaries; determining M local adjustment offset groups corresponding to the M character rows according to the M character row lower boundaries, the local adjustment reference line and the M retention coefficient groups; performing local adjustment on the M character rows in the intermediate corrected image according to the M local adjustment offset groups to obtain the target corrected image. 1. An image processing method , comprising:obtaining an input image, wherein the input image comprises M character rows, and each of the M character rows comprises at least one character, and M is a positive integer;performing a global correction processing on the input image to obtain an intermediate corrected image; and determining M character row lower boundaries corresponding to the M character rows according to the intermediate corrected image;', 'determining a local adjustment reference line and M retention coefficient groups based on the intermediate corrected image and the M character row lower boundaries, wherein each of the M retention coefficient groups comprises multiple retention coefficients;', 'determining M local adjustment offset groups corresponding to the M character rows according to the M character row lower boundaries, the local adjustment reference line and the M retention coefficient groups, wherein each of the M local ...

Подробнее
Номер записи: 45
04-01-2018 дата публикации

Image Measurement Device

Номер: US20180003485A1
Автор: Naruse Takashi, Takahashi Koji
Принадлежит: KEYENCE CORPORATION

There are included a display section for displaying a model image, an input receiving section for receiving designation, in the model image, of a measurement element for which measurement is to be performed by the probe, a storage section storing, in advance, an arrangement rule defining a relationship between a shape type or a size of a measurement element and arranged positions of contact target positions of the probe, and a measurement control section for identifying, at a time of measurement execution, contact target positions of the probe based on a position of the measurement element designated by the input receiving section, a shape type or a size of the measurement element, and the arrangement rule that is stored in the storage section, and for controlling a horizontal drive section so that the probe sequentially moves to the plurality of contact target positions identified. 1. An image measurement device comprising:a stage where a workpiece is to be placed;a light projection section for radiating detection light on the workpiece on the stage;an imaging section for receiving the detection light from the workpiece, and for generating a workpiece image;a probe that is provided in a manner capable of being arranged in an imaging field of view of the imaging section;a horizontal drive section for causing the probe to contact a side surface of the workpiece that is placed on the stage, by moving the stage and the probe relative to each other in a direction parallel to an upper surface of the stage;a display section for displaying, at a time of measurement setting, a model image for setting that is generated based on design data of the workpiece or image data obtained by capturing an image of the workpiece by the imaging section;an input receiving section for receiving designation of a measurement element for which measurement is to be performed by the probe, in the model image that is displayed by the display section;a storage section storing, in advance, an ...

Подробнее
Номер записи: 46
04-01-2018 дата публикации

Image Measurement Device

Номер: US20180003487A1
Автор: Naruse Takashi, Oba Hayato, Takahashi Koji
Принадлежит: KEYENCE CORPORATION

There are included a probe that can be arranged in an imaging field of view, a horizontal drive section for causing the probe to contact a side surface of a workpiece on a stage, a display section for displaying a model image, a contact position designation section for receiving designation of contact target position information in the model image, a characteristic amount information setting section for setting characteristic amount information, a measurement setting information storage section for storing a plurality of pieces of contact target position information and the characteristic amount information, and a measurement control section for identifying a position and an attitude of the workpiece from a workpiece image by using the characteristic amount information, for identifying a plurality of contact target positions on the side surface of the workpiece where the probe should contact, based on the identified position and the identified attitude of the workpiece. 1. An image measurement device comprising:a stage where a workpiece is to be placed;a light projection section for radiating detection light on the workpiece on the stage;an imaging section for receiving the detection light from the workpiece, and for generating a workpiece image;a probe that is provided in a manner capable of being arranged in an imaging field of view of the imaging section;a horizontal drive section for causing the probe to contact a side surface of the workpiece that is placed on the stage, by moving the stage and the probe relative to each other in a direction parallel to an upper surface of the stage;a display section for displaying, at a time of measurement setting, a model image for setting that is generated based on design data of the workpiece or image data obtained by capturing an image of the workpiece by the imaging section;a contact position designation section for receiving, in the model image that is displayed by the display section, designation of pieces of contact ...

Подробнее
Номер записи: 47
02-01-2020 дата публикации

CALIBRATION OF LASER AND VISION SENSORS

Номер: US20200003878A1
Автор: Ma Lu, Wu Kanzhi
Принадлежит: SZ DJI TECHNOLOGY CO. LTD.

Automatic calibration between laser and vision sensors carried by a mobile platform, and associated systems and methods are disclosed herein. A representative method includes evaluating depth-based feature points obtained from the laser sensor with edge information obtained from the vision sensor and generating calibration rules based thereon. 1106-. (canceled)107. A computer-implemented method for generating a point cloud , the method comprising:obtaining observation data generated by at least one vision sensor, wherein the observation data corresponds to a time period;evaluating states associated with a laser unit at different points in time within the time period based at least on the observation data;determining one or more transformation rules for transforming between one or more reference systems and a target reference system associated with the laser unit, wherein the one or more reference systems are associated with the laser unit at the different points in time within the time period and the target reference system is associated with the laser unit at a target point in time within the time period;transforming data obtained by the laser unit based at least on the one or more transformation rules to the target reference system, the data obtained by the laser unit corresponding to the different points in time within the time period; andgenerating the point cloud using at least a portion of the transformed data.108. The method of claim 107 , wherein determining the one or more transformation rules further comprises:computing transformation matrices for the laser unit at the different points in time with respect to the target point in time, wherein each transformation matrix is computed using a corresponding state associated with the laser unit at a corresponding point in time.109. The method of claim 108 , wherein transforming data obtained by the laser unit based at least on the one or more transformation rules to the target reference system further comprises: ...

Подробнее
Номер записи: 48
07-01-2021 дата публикации

METHOD AND APPARATUS FOR 3D OBJECT BOUNDING FOR 2D IMAGE DATA

Номер: US20210004566A1
Автор: AL QIZWINI Mohammed H., CLIFFORD David H., Cool Benjamin J., LINGG Andrew J., Qi Xuewei, Wilson Daniel R.
Принадлежит: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Methods and apparatus are provided for 3D object bounding for 2D image data for use in an assisted driving equipped vehicle. In various embodiments, an apparatus includes a camera operative to capture a two dimensional image of a field of view, a lidar operative to generate a point cloud of the field of view, a processor operative to generate a three dimensional representation of the field of view in response to the point cloud, to detect an object within the three dimensional representation, to generate a three dimensional bounding box in response to the object, to project the three dimensional bounding box onto the two dimensional image to generate a labeled two dimensional image, and a vehicle controller to controlling a vehicle in response to the labeled two dimensional image. 1. An apparatus comprising:a camera operative to capture a two dimensional image of a field of view;a lidar operative to generate a point cloud of the field of view;a processor operative to generate a three dimensional representation of the field of view in response to the point cloud, to detect an object within the three dimensional representation, to generate a three dimensional bounding box in response to the object, to project the three dimensional bounding box onto the two dimensional image to generate a labeled two dimensional image; anda vehicle controller operative to control a vehicle in response to the labeled two dimensional image.2. The apparatus of wherein the three dimensional representation of the field of view is a voxelized representation of a three dimensional volume.3. The apparatus of wherein the three dimensional bounding box is representative of a centroid claim 1 , length claim 1 , width and height of the object.4. The apparatus of wherein the processor is further operative to align the image the point cloud in response to an edge detection.5. The apparatus of wherein the processor is further operative to calibrate and co-register a point in the point cloud and a ...

Подробнее
Номер записи: 49
04-01-2018 дата публикации

TRAVEL ROAD SHAPE RECOGNITION APPARATUS AND TRAVEL ROAD SHAPE RECOGNITION METHOD

Номер: US20180005051A1
Автор: Kawasaki Naoki, Suzuki Shunsuke, Tsuruta Tomohiko
Принадлежит:

In a travel road shape recognition apparatus, a first travel road shape, which approximates a shape of a road boundary, is calculated based on feature points indicating the travel road boundary in a captured image. A worsening position, which is a position on the calculated first travel road shape at which a degree of coincidence with the feature points worsens, is detected over an area from near to far from an own vehicle. A second travel road shape, which approximates a shape of the road boundary in an area farther from the own vehicle, beyond the worsening position, is calculated. The road boundary in the area nearer to the own vehicle, up to the worsening position, is recognized from the first travel road shape. The road boundary in the area farther from the own vehicle, beyond the worsening position, is recognized from the second travel road shape. 1. A travel road shape recognition apparatus comprising:an image acquiring unit that acquires a captured image of an area ahead of an own vehicle in an advancing direction of the own vehicle, from an imaging means;a first shape calculating unit that calculates a first travel road shape approximating a shape of a travel road boundary based on a plurality of feature points indicating the travel road boundary in the captured image;a position detecting unit that detects a worsening position over an area from near to far from the own vehicle in the captured image, the worsening position being a position on the first travel road shape at which a degree of coincidence with the feature points worsens;a second shape calculating unit that calculates a second travel road shape approximating the shape of the travel road boundary in an area farther from the own vehicle, beyond the worsening position, in the captured image, when the worsening position is detected; anda recognizing unit that recognizes the travel road boundary in the area nearer to the own vehicle, up to the worsening position, from the first travel road shape, and ...

Подробнее
Номер записи: 50
04-01-2018 дата публикации

ROAD RECOGNITION APPARATUS

Номер: US20180005073A1
Автор: Kawano Taiki, Kawasaki Naoki, Suzuki Shunsuke, Watanabe Akihiro
Принадлежит:

In a road recognition apparatus mounted in a vehicle, a shape change point detector is configured to detect a shape change point along each of lane lines of an own lane. A turn-off lane determiner is configured to, if the shape change point is detected, determine whether or not a shape changing lane line that is one of the lane lines including the shape change point constitutes a border of a turn-off lane branching off from the own lane. A road recognizer is configured to, when the shape change point has been detected, use only feature points of the left and right lane lines of the own lane located within a distance from the own vehicle to the shape change point to recognize the shape of the own lane, before a result of determination by the turn-off lane determiner is produced. 1. A road recognition apparatus mounted in a vehicle , comprising:a lane line recognizer configured to extract feature points from an image captured by a vehicle-mounted camera, and based on the extracted feature points, recognize lane lines that demarcate a lane of a road in which the vehicle is traveling, which lane being referred to as an own lane;a shape change point detector configured to detect a shape change point along each of lane lines of the own lane, at which a shape of the lane line changes;a turn-off lane determiner configured to, if the shape change point is detected, determine whether or not a shape changing lane line that is one of the lane lines of the own lane including the shape change point constitutes a border of a turn-off lane branching off from the own lane; anda road recognizer configured to, when the shape change point has been detected, use only feature points of the left and right lane lines of the own lane located within a distance from the own vehicle to the shape change point to recognize a shape of the own lane, before a result of determination by the turn-off lane determiner is produced.2. The apparatus according to claim 1 , whereinthe turn-off lane ...

Подробнее
Номер записи: 51
02-01-2020 дата публикации

OPTICAL INSPECTION METHOD, OPTICAL INSPECTION DEVICE AND OPTICAL INSPECTION SYSTEM

Номер: US20200005070A1
Автор: AMBIKAPATHI ARULMURUGAN, FANG Chih-Heng, HSU Ming-Tang, LU CHIA-LIANG
Принадлежит: UTECHZONE CO., LTD.

An optical inspection method for an optical inspection device comprising an optical lens is provided according to an embodiment of the disclosure. The optical inspection method includes: obtaining a first image of an object by the optical lens; performing an edge detection on the first image to obtain a second image comprising an edge pattern; and performing a defect inspection operation on the second image based on a neural network architecture to inspect a defect pattern in the second image. In addition, an optical inspection device and an optical inspection system are provided according to embodiments of the disclosure. 1. An optical inspection method for an optical inspection device with an optical lens , wherein the optical inspection method comprises:obtaining a first image of an object by the optical lens;performing an edge detection on the first image to obtain a second image with an edge pattern; andperforming a defect inspection operation on the second image based on a neural network architecture to inspect a defect pattern in the second image.2. The optical inspection method according to claim 1 , wherein the step of performing the edge detection on the first image to obtain the second image comprising the edge pattern comprises:performing the edge detection on the first image based on at least one of a red model, a green model and a blue model of a RGB color model, so as to obtain the second image comprising the edge pattern.3. The optical inspection method according to claim 1 , further comprising:obtaining a sample image;generating a first non-defect image and a first defect image according to the sample image, wherein the first defect image comprises a first defect pattern, the first non-defect image does not comprise the first defect pattern, and the first non-defect image and the first defect image both correspond to a first image region of the sample image; andtraining the neural network architecture according to the first non-defect image and the ...

Подробнее
Номер записи: 52
07-01-2021 дата публикации

Method for image processing, non-transitory computer readable storage medium, and electronic device

Номер: US20210004952A1
Автор: Yan Chen
Принадлежит: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

A method for image processing includes the following. Edge pixel points in the image to be processed are determined by performing edge detection on the image to be processed. The number of the edge pixel points in the image to be processed is determined as a first pixel number. Determine that a moire pattern exists in the image to be processed when the first pixel number is larger than a first number threshold.

Подробнее
Номер записи: 53
07-01-2021 дата публикации

COMPUTER IMAGING PRE-PROCESSING FOR AUTOMATED MEDICATION DISPENSING ANALYSIS

Номер: US20210004958A1
Автор: Lehmuth Christopher G., Markson Christopher R., Shah Pritesh J.
Принадлежит:

A computer system includes an input configured to receive a first image of medication located in a receptacle, memory, and a processor configured to execute instructions including creating a second image based on the first image, dividing pixels of the second image into first and second subsets, and scanning the second image along a first axis to count, for each point along the first axis, a number of pixels in the first subset along a line perpendicular to the first axis that intersects the first axis at the point. The instructions also include estimating positions of first and second edges of the receptacle along the first axis based on the counts of the pixels, defining an opening of the receptacle based on the estimated positions of the first and second edges, and outputting a processed image that indicates areas of the image that are outside of the defined opening. 1. A computer system comprising:an input configured to receive a first image of medication located in a receptacle captured by a camera;memory configured to store computer-executable instructions; andat least one processor configured to execute the computer-executable instructions, wherein the instructions include:creating a second image in which each pixel of the second image is based on a corresponding pixel of the first image;dividing pixels of the second image into a first subset and a second subset such that pixels of the first subset are more likely to correspond to the receptacle than pixels of the second subset;scanning the second image along a first axis to count, for each point along the first axis, a number of pixels in the first subset along a line perpendicular to the first axis that intersects the first axis at the point;estimating a position of a first edge of the receptacle along the first axis based on the counts of the pixels at each point along the first axis;estimating a position of a second edge of the receptacle along the first axis based on the counts of the pixels at each ...

Подробнее
Номер записи: 54
07-01-2021 дата публикации

IMAGE SEGMENTATION CONFIDENCE DETERMINATION

Номер: US20210004965A1
Автор: Bhatt Advit, Suh Jung W., Tung Jonathan
Принадлежит:

Examples for determining a confidence level associated with image segmentation are disclosed. A confidence level associated with a collective image segmentation result can be determined by generating multiple individual segmentation results each from the same image data. These examples can then aggregate the individual segmentation results to form the collective image segmentation result and measure the spread of each individual segmentation result from the collective image segmentation result. The measured spread of each individual segmentation result can then be used to determine the confidence level associated with the collective image segmentation result. This can allow a confidence level associated with the collective image segmentation result to be determined. This confidence level may be determined without needing a ground truth to compare to the collective image segmentation result. 1. A method comprising:receiving, by a processor, an image comprising a cross-sectional view of an object;for each of a plurality of models, generating, by the processor and using the respective model, a boundary prediction for the object within the image, wherein each boundary prediction comprises a plurality of boundary prediction portions and each model of the plurality of models comprises a unique model;generating, by the processor, and based on the boundary prediction for each model of the plurality of models, a clustered boundary prediction for the object within the image, the clustered boundary prediction comprising a plurality of clustered boundary prediction portions that each correspond to one of the plurality of boundary prediction portions of each of the boundary predictions;for each of the plurality of clustered boundary prediction portions, determining, by the processor, and based on a comparison between the respective clustered boundary prediction portion and the corresponding boundary prediction portions of the boundary predictions, a confidence level for the ...

Подробнее
Номер записи: 55
04-01-2018 дата публикации

DYNAMIC DEFINITION OF A REGION OF INTEREST FOR TRACKING NERVE FIBERS

Номер: US20180005380A1
Автор: Seiler Thomas, STEDELE Katrin
Принадлежит:

The invention relates to a medical data processing method for determining the position of a region of interest serving as a start condition for conducting diffusion image-based tracking of nerve fibers. In one example, the method encompasses comparing a set of tracked nerve fibers to a model of nerve fibers contained in atlas data. 1. A method for determining a position of a region of interest serving as a start condition for conducting diffusion image-based tracking of nerve fibers , the method executing on a processor of a computer , and comprising:a) acquiring, at the processor, medical image data describing a medical image of an anatomical body part of a patient's body comprising the nerve fibers, the medical image generated by applying a diffusion-based medical imaging method to the anatomical body part;b) acquiring, at the processor, actual region size data describing the actual size of the region of interest;c) acquiring, at the processor, predetermined region size data describing a predetermined minimum size of the region of interest;d) determining, by the processor and based on the actual region size data and predetermined region size data, whether the region of interest has at least the predetermined size, and e1) acquiring, at the processor, region position data describing the position of the region of interest in the anatomical body part described by a position of a virtual tool in the medical image;', 'e2) determining, by the processor and based on the medical image data and the region position data, fiber tracking data describing a result of tracking a nerve fiber running through the region of interest;', e3a) acquiring, at the processor, changed region position data describing a new position of the region of interest different from the position described by the region position data;', 'e3b) determining, by the processor and based on the medical image data and the changed region position data, changed region tracking data describing a result of ...

Подробнее
Номер записи: 56
02-01-2020 дата публикации

Creating a Floor Plan from Images in Spherical Format

Номер: US20200005428A1
Автор: Sedeffow Peter Vassilev
Принадлежит:

A method and apparatus are provided for creating a floor plan from a spherical image. A spherical format is created of an image obtained by a camera, wherein the spherical format has a centre that corresponds to the position from which the image was obtained by the camera, and wherein a first surface represented in the image had a first orientation and was at a first distance from the camera when the image was obtained. A plurality of selected points are obtained in the spherical format, each defined by spherical coordinates consisting of a yaw angle and a pitch angle defining a line from the centre. A plane is identified that has the first orientation and that is at the first distance from the centre of the sphere. For each of the selected points, a location in a Cartesian coordinate system is identified where the line from the centre of the sphere to the selected point intersects with the first plane, two of the axes of the Cartesian coordinate system being parallel to the first plane. A floor plan is rendered using the locations, which represents the positions of the selected points on the first surface. 1. A method of creating a floor plan from a spherical image , comprising the steps of , at a processor:creating a spherical format of an image obtained by a camera, wherein said spherical format has a centre that corresponds to the position from which said image was obtained by the camera, and wherein a first surface represented in said image had a first orientation and was at a first distance from the camera when the image was obtained;obtaining a plurality of selected points in said spherical format, each defined by spherical coordinates consisting of a yaw angle and a pitch angle defining a line from said centre;obtaining said first orientation and said first distance;identifying a plane having said first orientation that is at said first distance from said centre;for each of said selected points, identifying a location in a Cartesian coordinate system where ...

Подробнее
Номер записи: 57
02-01-2020 дата публикации

EFFICIENT ACQUISITION OF A TARGET IMAGE FROM AN ORIGINAL IMAGE

Номер: US20200005432A1
Автор: Ding Wei
Принадлежит: ALIBABA GROUP HOLDING LIMITED

An original image is acquired, where the original image comprises a target image. Image compression processing is performed on the original image according to a preset compression ratio, and a low-pixel image is created based on the image compression processing. Borderlines of the target image in the low-pixel image are determined. The determined borderlines of the low-pixel image are mapped into the original image, and a target image is created from the original image. 1. A computer-implemented method comprising:acquiring an original image, wherein the original image comprises a target image;performing image compression processing on the original image according to a preset compression ratio, and creating a low-pixel image based on the image compression processing;determining borderlines of the target image in the low-pixel image; andmapping the determined borderlines of the low-pixel image into the original image, and creating a target image from the original image.2. The computer-implemented method of claim 1 , wherein performing image compression processing on the original image comprises:determining a position of each pixel point after compression according to the preset compression ratio;performing image compression processing on the original image by using a fast bilinear interpolation algorithm, and acquiring a pixel value of each pixel point after compression; andgenerating the low-pixel image according to the pixel value and the position of each pixel point after compression.3. The computer-implemented method of claim 2 , wherein performing image compression processing on the original image using the fast bilinear interpolation algorithm and acquiring a pixel value of each pixel point after compression comprises:determining, among all original pixel points in the original image, four original pixel points corresponding to each pixel point after compression according to the preset compression ratio;determining, among the four original pixel points ...

Подробнее
Номер записи: 58
02-01-2020 дата публикации

Compensating for Camera Pose in a Spherical Image

Номер: US20200005433A1
Автор: Sedeffow Peter Vassilev
Принадлежит:

A method and apparatus for identifying the orientation of an image in a spherical format. A spherical format is created of an image obtained by a camera, the spherical format comprising a notional sphere that has a centre corresponding to the position from which the image was obtained by the camera. A first surface represented in the image had a first orientation and was at a first distance from the camera when the image was obtained. A plurality of lines are obtained in the spherical format, each line defined by two endpoints in spherical coordinates, wherein each line intersects with at least one other line. For each of a plurality of rotational definitions of the sphere, the spherical coordinates of the endpoints are transformed into a Cartesian coordinate system relative to the rotational definition, thereby creating rotated lines, and a cumulative deviation, from a predetermined angle, is determined of angles between intersecting rotated lines. A preferred rotational definition is identified as the rotational definition that has the smallest cumulative deviation, and it can be used to adjust calculations carried out with respect to spherical coordinates within the spherical format. 1. A method of identifying the orientation of an image in a spherical format , comprising the steps of:creating a spherical format of an image obtained by a camera, wherein said spherical format comprises a notional sphere that has a centre corresponding to the position from which said image was obtained by the camera, and wherein a first surface represented in said image had a first orientation and was at a first distance from the camera when the image was obtained;obtaining a plurality of lines in said spherical format, each line defined by two endpoints in spherical coordinates, wherein each line intersects with at least one other line;for each of a plurality of rotational definitions of said sphere:transforming the spherical coordinates of said endpoints into a Cartesian ...

Подробнее
Номер записи: 59
02-01-2020 дата публикации

Image segmentation and prediction of segmentation

Номер: US20200005464A1
Автор: Alexandra Groth, Jochen Peters, Rolf Jurgen Weese
Принадлежит: Koninklijke Philips NV

Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.

Подробнее
Номер записи: 60
02-01-2020 дата публикации

BOUNDARY DETECTION EVALUATION

Номер: US20200005465A1
Автор: Gittinger Jaxon, Jimenez, JR. Edward Steven, Koundinyan Srivathsan, Saxberg Kyle, Wantuch Andrew C.
Принадлежит:

Illustrative embodiments are directed to a method and apparatus for evaluating boundary detection in an image. A processed image is received, wherein a detected boundary of an image of an object is identified in the processed image. A Radon transform is applied to the processed image for a plurality of angles to form a processed image histogram corresponding to the detected boundary for each of the plurality of angles. The processed image histogram for each of the plurality of angles and a corresponding ground truth histogram for each of the plurality of angles is normalized to provide a normalized processed image histogram and a normalized ground truth histogram for each of the plurality of angles, wherein the ground truth histogram corresponds to a ground truth boundary of the object for a corresponding angle. An indication of the edges of the normalized processed image histogram for each of the plurality of angles is plotted to form a boundary detection evaluation visualization. 1. A method of evaluating boundary detection in an image , comprising:receiving a processed image, wherein a detected boundary of an object image of an object is identified in the processed image;applying a Radon transform to the processed image for a plurality of angles to form a processed image histogram corresponding to the detected boundary for each of the plurality of angles;normalizing the processed image histogram for each of the plurality of angles and a corresponding ground truth histogram for each of the plurality of angles to provide a normalized processed image histogram and a normalized ground truth histogram for each of the plurality of angles, wherein the ground truth histogram corresponds to a ground truth boundary of the object for a corresponding angle; andplotting an indication of the edges of the normalized processed image histogram for each of the plurality of angles to form a boundary detection evaluation visualization.2. The method of claim 1 , wherein normalizing ...

Подробнее
Номер записи: 61
02-01-2020 дата публикации

IMAGE PROCESSING METHOD AND IMAGE PROCESSOR

Номер: US20200005466A1
Автор: YASUDA Takuya
Принадлежит:

An image processing method is for detecting the edge of a well where cells are analyzed, from image data obtained by capturing the well and surroundings of the well, and an edge coordinate group for the well is extracted from the image data. If a plurality of edge coordinate groups has been extracted, edge candidates for the well are generated for each of the plurality of edge coordinate groups. Then, an edge candidate that satisfies a predetermined reference value is selected from among the generated edge candidates. If a plurality of edge candidates has been selected, relative evaluations are conducted to determine the edge of the analysis region from among the plurality of edge candidates. 1. An image processing method of detecting an edge of an analysis region where an object is analyzed , from image data obtained by capturing an image of the analysis region and surroundings of the analysis region , the method comprising the steps of:a) extracting an edge coordinate group for the analysis region from the image data;b) in a case where a plurality of edge coordinate groups has been extracted in the step a), generating edge candidates for the analysis region from each of the plurality of edge coordinate groups;c) selecting an edge candidate that satisfies a predetermined reference value from among the edge candidates generated in the step b); andd) in a case where a plurality of edge candidates has been selected in the step c), conducting relative evaluations to determine the edge of the analysis region from among the plurality of edge candidates.2. The image processing method according to claim 1 , wherein in the step b) claim 1 , edge candidates are generated using polynomial approximation for each of the plurality of edge coordinate groups.3. The image processing method according to claim 2 , whereinin the step c), an edge candidate is selected that is generated from an edge coordinate group that includes a predetermined number or more of edge coordinates whose ...

Подробнее
Номер записи: 62
03-01-2019 дата публикации

Electronic device, image processing method and non-transitory computer readable recording medium

Номер: US20190005306A1
Автор: Chia-Hui Han, Fu-Chun MAI, Tsung-Lun WU, Wei-Po Lin
Принадлежит: ASUSTeK Computer Inc

The present disclosure provides an electronic device, an image processing method and a non-transitory computer readable recording medium. The image processing method comprises: adjusting a position of at least one of multiple facial feature points on a facial three-dimensional model according to an adjustment instruction; adjusting the facial three-dimensional model correspondingly according to adjusted facial feature points to generate an adjusted facial three-dimensional model; and displaying the adjusted facial three-dimensional model.

Подробнее
Номер записи: 63
03-01-2019 дата публикации

OBJECT COUNTING AND CLASSIFICATION FOR IMAGE PROCESSING

Номер: US20190005336A1
Автор: SCHULTE Stefan
Принадлежит:

Systems and methods according to one or more embodiments are provided for classifying and counting objects that pass through monitored zones in a field of view of an imaging device. An imaging device receives a series of images of a target scene having at least one monitored zone. An image processor extracts a target line of image values from each image, and adds the target line to a first spatio-temporal image. An edge detector and a cluster analysis module analyzes the first spatio-temporal image to identify objects associated with the at least one zone. 1. A method comprising:receiving a series of images of a target scene having at least one monitored zone;extracting, from each of the images, a target line of image values, the target line corresponding to the at least one zone;storing the target line in a first spatio-temporal image;analyzing the first spatio-temporal image to identify objects associated with the at least one zone; andclassifying each object associated with the at least one zone.2. The method of claim 1 , further comprising capturing the series of images of the target scene by an imaging device claim 1 , wherein the imaging device comprises a thermal camera.3. The method of claim 1 , wherein the at least one zone is a fixed subset of the field of view through which the objects are monitored.4. The method of claim 1 , wherein the target line extends across the zone substantially perpendicular to a monitored direction of travel of objects through the zone.5. The method of claim 1 , wherein the target line is added to a spatio-temporal image comprising a temporal sequence of target lines extracted from the series of images.6. The method of claim 1 , further comprising detecting edges between the most recent target line and a prior target line.7. The method of claim 6 , further comprising creating a feature vector of the detected edges and adding the feature vector to a second spatio-temporal image.8. The method of claim 7 , further comprising ...

Подробнее
Номер записи: 64
03-01-2019 дата публикации

PATTERN EDGE DETECTION METHOD

Номер: US20190005650A1
Автор: OYA Masahiro
Принадлежит:

A method capable of accurately detecting an edge of a pattern on an upper layer and an edge of a pattern on a lower layer is disclosed. The pattern edge detection method includes: generating a sample image of an upper-layer pattern and a lower-layer pattern; applying a first image processing, which is for emphasizing an edge of the upper-layer pattern, to the sample image, thereby generating a first processed image; detecting the edge of the upper-layer pattern based on a brightness profile of the first processed image; applying a second image processing, which is for emphasizing an edge of the lower-layer pattern, to the sample image, thereby generating a second processed image; and detecting the edge of the lower-layer pattern based on a brightness profile of the second processed image. 1. A pattern edge detection method comprising:generating a sample image of an upper-layer pattern and a lower-layer pattern;applying a first image processing, which is for emphasizing an edge of the upper-layer pattern, to the sample image, thereby generating a first processed image;detecting the edge of the upper-layer pattern based on a brightness profile of the first processed image;applying a second image processing, which is for emphasizing an edge of the lower-layer pattern, to the sample image, thereby generating a second processed image; anddetecting the edge of the lower-layer pattern based on a brightness profile of the second processed image.2. The pattern edge detection method according to claim 1 , wherein:the first image processing is a tone-curve processing that emphasizes the edge of the upper-layer pattern; andthe second image processing is a tone-curve processing that emphasizes the edge of the lower-layer pattern.3. The pattern edge detection method according to claim 2 , wherein:the tone-curve processing applied to the first image processing is a process of lowering a brightness value at an intermediate level between a brightness value of the upper-layer pattern ...

Подробнее
Номер записи: 65
03-01-2019 дата публикации

IMAGE PROCESSING APPARATUS, DEVICE CONTROL SYSTEM, IMAGING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM

Номер: US20190005691A1
Автор: SEKIGUCHI Hiroyoshi, TAKAHASHI Sadao
Принадлежит:

An image processing apparatus includes processing circuitry configured to generate a map formed of pixels that indicate information including left and right position information, distance information, and frequency values associated with the pixels; detect a pixel block formed of a plurality of the pixels having a common feature amount in the map; and generate a detection frame defining a search target region used for detecting a body from the distance information, based on the information indicated by the pixels forming the detected pixel block. 1. An image processing apparatus comprising:processing circuitry configured togenerate a map formed of pixels that indicate information including left and right position information, distance information, and frequency values associated with the pixels;detect a pixel block formed of a plurality of the pixels having a common feature amount in the map; andgenerate a detection frame defining a search target region used for detecting a body from the distance information, based on the information indicated by the pixels forming the detected pixel block.2. The image processing apparatus according to claim 1 , wherein the processing circuitry is further configured tosearch a distance image, which is formed of the pixels indicating the distance information, from an outer side toward a center of the distance image based on the detection frame, and to set a position, where a frequency of the distance information is greater than or equal to a predetermined threshold value, as an edge portion of the body.3. The image processing apparatus according to claim 2 , wherein the processing circuitry searches the distance image from left and right sides toward a center of the distance image in an x axis direction based on the detection frame claim 2 , and sets positions claim 2 , where a frequency of the distance information in the x axis direction is greater than or equal to a predetermined threshold value claim 2 , as left and right edges of ...

Подробнее
Номер записи: 66
03-01-2019 дата публикации

A PARTIAL IMAGE PROCESSING METHOD, DEVICE, AND COMPUTER STORAGE MEDIUM

Номер: US20190005700A1
Автор: Liu Linwen
Принадлежит:

Embodiments of the present disclosure disclose a partial image processing method, the method includes: obtaining a multi-frame picture that make up a first dynamic picture; receiving a user input operation on a specified frame picture in the multi-frame picture, and determining a delineated area based on the input operation; according to the multi-frame picture, determining a movable object of the delineated area; determining a partial area where the movable object in the multi-frame picture is located; and according to the partial area of the multi-frame picture, generating and displaying a second dynamic picture. Embodiments of the present disclosure also disclose a partial image processing device and computer storage medium. 1. A partial image processing method , comprising:obtaining a multi-frame picture that make up a first dynamic picture;receiving a user input operation on a specified frame picture in the multi-frame picture, and determining a delineated area based on the input operation;according to the multi-frame picture, determining a movable object of the delineated area;determining a partial area where the movable object in the multi-frame picture is located; andaccording to the partial area of the multi-frame picture, generating and displaying a second dynamic picture.2. The method according to claim 1 , wherein claim 1 , according to the multi-frame picture claim 1 , determining a movable object of the delineated area further comprises:identifying multiple objects of the delineated area, and obtaining a first feature of the multiple objects;obtaining a second feature of the multiple objects in other frame pictures except the specified frame picture;matching the first feature and the second feature of any object in the multiple objects, and obtaining a matching first object;obtaining a location information of the first object in the multi-frame picture; andtaking the first object with a different location information as the movable object.3. The method ...

Подробнее
Номер записи: 67
03-01-2019 дата публикации

SYSTEMS AND METHODS FOR AUTOMATICALLY TRACKING TOKENS DROPPED INTO A DROP BOX

Номер: US20190005768A1
Автор: Wilkinson Michael
Принадлежит:

Systems and methods described herein are for use with a gaming table including an opening, below which is located a drop box, and that is covered by a door when the door is in a closed position. A camera is positioned relative to the door to capture an image of tokens resting on the door. A camera trigger detects when the door is being moved from a closed position to an open position, and selectively triggers the camera to capture an image of tokens resting on the door before they drop into the drop box. Processor(s) analyze images, stored in memory, of the tokens resting on the door to determine a value of each of the tokens, calculate a total value of the tokens dropped into the drop box, and attribute to dealers a subtotal of the total value of the tokens dropped into the drop box by the dealer. 1. A system for use with a table including an opening below which is located a drop box , wherein the opening in the table is covered by a door when the door is in a closed position and at least a portion of the opening in the table is uncovered when the door is in an open position , the system comprising:a camera positioned relative to the door so that the camera can capture an image of one or more tokens resting on the door; anda camera trigger configured to detect when the door is being moved from a closed position to an open position;wherein the camera is selectively triggered to capture an image of one or more tokens resting on the door, before the one or more tokens drop into the drop box, in response to the camera trigger detecting that the door is being moved from the closed position to the open position.2. The system of claim 1 , further comprising:a drop slide that includes the door;wherein the door of the drop slide is configured to be slid from the closed position to the open position in response to a translational force being applied to a handle of the door; andwherein the camera and the camera trigger are attached to and/or integrated into the drop slide.3. ...

Подробнее
Номер записи: 68
05-01-2017 дата публикации

Apparatus and method for processing image signal, imaging apparatus, and method for displaying image

Номер: US20170006256A1
Автор: Jun GOMITA, Koji Kamiya
Принадлежит: Sony Corp

An image signal processing apparatus includes a down-converter unit configured to down-convert an image signal having a first resolution into an image signal having a second resolution lower than the first resolution, a high-frequency-band-edge detection unit configured to perform filtering on the image signal having the first resolution to extract components in a higher frequency band than a frequency corresponding to the second resolution and to perform down-conversion on an edge detection signal obtained through the filtering to obtain an edge detection signal having the second resolution, and a combination unit configured to combine the edge detection signal obtained by the high-frequency-band-edge detection unit with the image signal having the second resolution generated by the down-converter unit so as to obtain an image signal having the second resolution and being to be displayed.

Подробнее
Номер записи: 69
04-01-2018 дата публикации

SYSTEMS AND METHODS FOR CAPTURING DIGITAL IMAGES

Номер: US20180007240A1
Автор: Feder Adam Barry, Kindle Brian J., Rivard William Guie
Принадлежит:

A system, method, and computer program product are provided for capturing digital images. In use, at least one ambient exposure parameter is determined, and at least one flash exposure parameter based on the at least one ambient exposure parameter is determined. Next, via at least one camera module, an ambient image is captured according to the at least one ambient exposure parameter, and, via the at least one camera module, a flash image is captured according to the at least one flash exposure parameter. The captured ambient image and the captured flash image are stored. Lastly, the captured ambient image and the captured flash image are combined to generate a first merged image. Additional systems, methods, and computer program products are also presented. 1. A device , comprising:a non-transitory memory storing instructions; andone or more processors in communication with the non-transitory memory, wherein the one or more processors execute the instructions to:determine at least one ambient exposure parameter;determine at least one flash exposure parameter based on the at least one ambient exposure parameter;capture, via at least one camera module, an ambient image according to the at least one ambient exposure parameter;capture, via the at least one camera module, a flash image according to the at least one flash exposure parameter;store the captured ambient image and the captured flash image; andcombine the captured ambient image and the captured flash image to generate a first merged image.2. The device of claim 1 , wherein the device is configured such that the at least one ambient exposure parameter includes at least one of an exposure time claim 1 , an exposure sensitivity (ISO value) claim 1 , a white balance claim 1 , and a lens aperture.3. The device of claim 1 , wherein the one or more processors further execute the instructions to implement at least one of de-noising the ambient image prior to the combining claim 1 , de-noising the flash image prior to ...

Подробнее
Номер записи: 70
20-01-2022 дата публикации

PUPIL ELLIPSE-BASED, REAL-TIME IRIS LOCALIZATION

Номер: US20220019791A1
Автор: Arbel Nadav, BORZIN Artyom, DROZDOV Gilad, HAIMOVITCH-YOGEV Oren, MIZRAHI Tsahi, NASSER Soliman, WOLLNER URI
Принадлежит: Blink.O.G.Ltd

The disclosure relates to systems, methods and programs for developing real-time user-specific eye model based on iris localization using solely pupil-ellipse analysis. 2. The method of claim 1 , wherein the step of identifying the major axis R of the projected pupil ellipse comprises:a. detecting a pupil ellipse in each image;b. determining the detected ellipse's major axis length;c. unprojecting each pupil ellipse to a circle in three-dimensional (3D) space; andd. combining unprojected circles from each image, thereby forming a 3D pupil motion model.3. The method of claim 2 , further comprising measuring a radius of the pupil along each of the pair of rays r claim 2 , inscribing limbus visibility angle θ claim 2 , establishing ray-specific radii r claim 2 , r claim 2 , for each image.4. The method of claim 3 , wherein the pupil center is established as the mid-point of the detected major axis R of the pupil ellipse.5. The method of claim 4 , wherein the steps of detecting limbus points LP claim 4 , and LPfor each edge-rendered image and compiling the user-specific eye-model comprise:{'sub': PL', 'PLq', 'PL1', 'PL2, 'a. for each ray inscribing limbus visibility angle θ, recording distance Dfrom the pupil center to the second detected edge in each edge-detected image thereby identifying D, and D, for each edge-rendered image;'}{'sub': PL1', 'PL2', 'P1', 'P2', 'N1', 'N2, 'b. normalizing each of Dand D, by the respective rand r, thereby identifying normalized distances Dand Dfor each edge-rendered image;'}{'sub': PL1', 'PL2, 'c. using a predetermined normalized distance range to establish a plurality of bins to build a histogram of Dand Dfrom one or more captured images;'}{'sub': 'Pi', 'd. multiplying each bin content by its corresponding r;'}{'sub': 'N', 'e. selecting the normalizing radius rfrom the histogram mode bin,'}{'sub': j', 'Pi', 'N, 'f. calculating limbus points (l) detected from one or more of the captured images constrained by r×r; and'}{'sub': j', 'j, 'g ...

Подробнее
Номер записи: 71
20-01-2022 дата публикации

IMAGE RESIZING USING SEAM CARVING

Номер: US20220020113A1
Автор: Majewicz Peter, Meschiari Luca, Prashanth Rekil
Принадлежит:

An example method presents a system for improved image resizing using seam carving. The system may receive a digital image file of an image and determine a target aspect ratio of the image. The system may compute a mask identifying objects in the image, determine a path of pixels extending between a first edge of the image and a second edge of the image using the mask, and remove the path of pixels from the image to generate an edited image. In some instances, the system may output the edited image with a different aspect ratio than the received image using the removed path of pixels. In some instances, the system may process the image from 2, 4, or 8 directions, for example, to balance proportionate amounts of resizing when adjusting the aspect ratio of the image. 1. A method comprising:receiving, by one or more processors, a digital image file of an image;computing, by the one or more processors, one or more masks identifying one or more objects in the image;determining, by the one or more processors, a first path of pixels extending between a first edge of the image and a second edge of the image using the one or more masks, the first edge opposing the second edge;removing, by the one or more processors, the first path of pixels from the image to generate an edited image; andoutputting, by the one or more processors, the edited image, the edited image having a different aspect ratio than the received image.2. The method of claim 1 , wherein determining the first path of pixels includes:determining the first path of pixels from a first starting pixel on the first edge, the first path of pixels having fewer than a threshold quantity of interactions with the one or more objects in the image based on the one or more masks.3. The method of claim 2 , further comprising:determining, by the one or more processors, a quantity of interactions of the first path with the one or more objects based on each time the first path of pixels intersects with the one or more objects ...

Подробнее
Номер записи: 72
20-01-2022 дата публикации

ALERT DEVICE AND ALERT METHOD THEREOF

Номер: US20220020157A1
Автор: DOONG Shyue-Ru, TSAI Feng-Ju
Принадлежит:

The present disclosure provides an alert device and an alert method. The alert device includes an image capturing unit, an input/output unit and a processing unit. The image capturing unit is configured to capture at least one image of a wafer transportation system. The processing unit is configured to: retrieve the at least one image from the image capturing unit; define a first boundary in the at least one image; identify a wafer chuck of the wafer transportation system in the at least one image; determine whether the wafer chuck intersects the first boundary in the at least one image; and transmit an alert signal to the wafer transportation system via the input/output unit when the wafer chuck is determined to intersect the first boundary in the at least one image. 1. An alert device , comprising:an image capturing unit, being configured to capture at least one image of a wafer transportation system;an input/output unit, being configured to communicate with the wafer transportation system; retrieve the at least one image from the image capturing unit;', 'define a first boundary in the at least one image;', 'identify a wafer chuck of the wafer transportation system in the at least one image;', 'determine whether the wafer chuck intersects the first boundary in the at least one image; and', 'transmit an alert signal to the wafer transportation system via the input/output unit when the wafer chuck is determined intersect the first boundary in the at least one image., 'a processing unit, being connected to the input/output unit and the image capturing unit electrically, and configured to2. The alert device of claim 1 , wherein the processing unit is further configured to:define a second boundary in the at least one image;determine whether the wafer chuck intersects the second boundary in the at least one image; andtransmit the alert signal to the wafer transportation system via the input/output unit when the wafer chuck is determined intersect the second boundary in ...

Подробнее
Номер записи: 73
27-01-2022 дата публикации

CONCEALED OBJECT DETECTION

Номер: US20220026561A1
Автор: Pepeljugoski Petar K., Plouchart Jean-Olivier, Valdes Garcia Alberto
Принадлежит:

A method for detecting the presence of on-body concealed objects includes receiving a visible-domain camera image for a scene, determining, using the visible-domain camera image, a region of interest where a subject is present, receiving an infrared-domain camera image and a millimeter-wave (mmwave) radar image that each cover the region of interest, determining emissivity information for the region of interest using the infrared-domain camera image, determining reflectivity information for the region of interest using the mmwave radar image and determining a concealed object classification for the subject based on the emissivity information and the reflectivity information. A corresponding system and computer program product for executing the above method are also disclosed herein. 1. A method for detecting the presence of on-body concealed objects , the method comprising:receiving a visible-domain camera image for a scene;determining, using the visible-domain camera image, a region of interest within the scene where a subject is present;receiving at least one of an infrared-domain camera image or a millimeter-wave (mmwave) radar image that each cover the region of interest;in response to receiving the infrared-domain camera image, determining emissivity information for the region of interest using the infrared-domain camera image;in response to receiving the mmwave radar image, determining reflectivity information for the region of interest using the mmwave radar image; anddetermining a concealed object classification for the subject based on one of the emissivity information or the reflectivity information,wherein the concealed object classification is one of a group of determinable concealed object classifications that comprise each of: an active device classification, a reflecting object classification, a no detected object classification, and a thick covering classification.2. (canceled)3. The method of claim 1 , further comprising presenting the visible- ...

Подробнее
Номер записи: 74
09-01-2020 дата публикации

Lateral image processing apparatus and method of mirrorless car

Номер: US20200010016A1
Автор: Seung Heon Jeon
Принадлежит: Hyundai Mobis Co Ltd

The present invention relates to a lateral image processing method, and the method includes recognizing areas in which amounts of image change are different from each other in an image captured by a camera; determining whether a car is in a driving state; and converting an image in one area in which an amount of image change is different according to the driving state of the car.

Подробнее
Номер записи: 75
27-01-2022 дата публикации

SYSTEM AND METHOD FOR OBTAINING MEASUREMENTS FROM IMAGING DATA

Номер: US20220028066A1
Автор: OAKLEY Jonathan D., Russakoff Daniel B.
Принадлежит:

Probabilistic measurements of objects in image data are obtained by analyzing individual segments of an image to determine the probability that an object is present in the segment, and aggregating the total probabilities among all of the segments in the image to provide an overall probabilistic measurement of the object. For example, pixels of an OCT image can be assigned probabilities that the pixel contains a retinal layer or background. The sum of probabilities of the retinal layer being present in a one-dimensional row of pixels gives a probabilistic length in that dimension of the retinal layer. Likewise, the sum of a two-dimensional array of pixels gives an area; and a three-dimensional array gives a volume. 1. A method for measuring an object in an image , the method comprising:segmenting an image into a plurality of segments;obtaining a probabilistic value for each of the plurality of segments, the probabilistic value corresponding to a likelihood of an object being in each of the plurality of segments; andaggregating the probabilistic values from the plurality of segments to obtain a measurement for the object.2. The method of claim 1 , wherein the image comprises multiple classes of objects.3. The method of claim 2 , further comprising obtaining probabilistic values for each of the multiple classes of objects.4. The method of claim 2 , wherein the multiple classes of objects comprise one or more of: a retinal layer claim 2 , a fluid pocket claim 2 , lesion claim 2 , cyst claim 2 , and background.5. The method of claim 1 , wherein the image is an OCT image.6. The method of claim 1 , wherein the plurality of segments comprise pixels.7. The method of claim 1 , wherein the measurements are distances claim 1 , areas claim 1 , volumes claim 1 , distances over time claim 1 , areas over time claim 1 , or volumes over time.8. The method of claim 1 , wherein the probabilistic values are between 0 and 1 claim 1 , inclusive.9. The method of claim 1 , wherein the ...

Подробнее
Номер записи: 76
11-01-2018 дата публикации

SPOOFING ATTACK DETECTION DURING LIVE IMAGE CAPTURE

Номер: US20180012094A1
Автор: Martin Brian, Wu Yecheng
Принадлежит:

In general, one innovative aspect of the subject matter described in this specification can be embodied in a computer-implemented method. The method includes, detecting, by an imaging device, the presence of an object to be imaged. The method further includes, measuring, by the imaging device, a first characteristic of the object to be imaged, and measuring, by the imaging device, a second characteristic of the object to be imaged. The method further includes, determining, by a computing device, that at least one of the first characteristic of the object or the second characteristic of the object exceeds a threshold; and in response to determining, indicating, by the computing device, whether the object to be imaged is one of a spoofed object or an actual object. 1. A computer-implemented method , the method comprising:detecting, by an imaging device, the presence of an object to be imaged;measuring, by the imaging device, a distance between the imaging device and the object to be imaged;using, by a computing device, the measured distance and at least one feature of the imaging device to determine a characteristic of the object to be imaged;determining, by the computing device, whether the characteristic of the object exceeds a threshold; andindicating, by the computing device, whether the object to be imaged is one of a spoofed object and an actual object.2. The method of claim 1 , wherein the determined characteristic of the object to be imaged is the size of the object.3. The method of claim 1 , wherein the at least one feature of the imaging device includes one of:focal length of a lens of the imaging device,size of an imaging sensor of the imaging device,image pixel resolution of the imaging sensor, andobject size of the image in pixels.4. The method of claim 3 , wherein determining the characteristic of the object to be imaged includes using a width of an image detected by the imaging device and a width of the imaging sensor.5. The method of claim 4 , wherein ...

Подробнее
Номер записи: 77
11-01-2018 дата публикации

Image processing apparatus, image processing method, and program therefor

Номер: US20180012353A1
Автор: Hiroshi Imamura
Принадлежит: Canon Inc

Provided is an image processing apparatus configured to process an image of a fundus of an eye, which is capable of simply and accurately measuring a distribution of cells that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; and a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points.

Подробнее
Номер записи: 78
11-01-2018 дата публикации

PREVIEW VISUALISATION OF TRACKED NERVE FIBERS

Номер: US20180012363A1
Автор: Seiler Thomas, STEDELE Katrin
Принадлежит:

The invention relates to a medical data processing method for determining the position of a nerve fiber based on a diffusion image-based tracking method of tracking nerve fibers. In one example, the method encompasses comparing a set of tracked nerve fibers to a model of nerve fibers contained in atlas data. 1. A method for determining the position of a nerve fiber based on diffusion image-based tracking of nerve fibers , the method executing on a processor of a computer , and comprising:a) acquiring, at the processor, medical image data describing a medical image of an anatomical body part of a patient's body comprising the nerve fibers, the medical image generated by applying a diffusion-based medical imaging method to the anatomical body part;b) acquiring, at the processor, tracking initiation data describing a minimum fractional anisotropy and a minimum length of nerve fibers to be selected for tracking;c) acquiring, at the processor, first recording mode data describing whether a recording mode for recording the result of the tracking is enabled or disabled;d) acquiring, at the processor, initial position data describing an initial position of a virtual tool in the medical image;e) acquiring, at the processor, atlas data describing a model of the anatomical body part of the patient's body comprising the nerve fibers;f) determining, by the processor, seed point data, the seed point data based on the medical image data, tracking initiation data, and the initial position data, and wherein the seed point data describes a set of seed points serving as starting points for the tracking;g) initiating, by the processor, and based on the medical image data and the seed point data, the tracking, and writing the tracked nerve fibers into a tracking result data set; [ h1) acquiring, at the processor, and evaluating, by the processor, continuation data indicating whether the method shall continue, and if the continuation data indicates that the method shall not continue, ...

Подробнее
Номер записи: 79
10-01-2019 дата публикации

OCCUPANCY DETECTION

Номер: US20190012546A1
Автор: Kirenko Ihor Olehovych, ROCQUE Mukul Julius
Принадлежит:

An apparatus for detecting when a subject has exited an item of furniture is provided. The apparatus comprises a camera adapted to be arranged, when in use, below the underside of an item of furniture having an upper side for supporting a subject, the underside being opposite to the upper side, and a processing unit. The camera captures sequential images that do not include the upper side of the item of furniture, the images having a foreground corresponding to a region below the underside of the item of furniture and a background corresponding to a region adjacent the item. The processing unit receives images from the camera; detects, for each image, an edge corresponding to an edge of the item; detects the appearance of a feature contiguous with the edge; monitors how a detected feature changes over a time period; determines whether a change to the detected feature satisfies at least one predefined criterion for a subject exit event; and outputs a signal based on the determining. 1. Apparatus for detecting when a subject has exited an item of furniture , the apparatus comprising:a camera adapted to be arranged, when in use, beneath the underside of an item of furniture, wherein the item of furniture has an upper side for supporting a subject and the underside is opposite to the upper side, and wherein the camera is arranged to capture sequential images that do not include the upper side of the item of furniture, the images having a foreground corresponding to a region beneath the underside of the item of furniture and a background corresponding to a region adjacent the item of furniture; and receive the images from the camera;', 'detect, for each received image, an edge corresponding to an edge of the item of furniture;', 'detect, in the received images, the appearance of a feature contiguous with the edge;', 'monitor how a detected feature changes over a time period;', 'determine whether a change to the detected feature over the time period satisfies at least one ...

Подробнее
Номер записи: 80
10-01-2019 дата публикации

Image segmentation for object modeling

Номер: US20190012563A1
Автор: Maksim Igorevich Gusarov
Принадлежит: Snap Inc

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.

Подробнее
Номер записи: 81
10-01-2019 дата публикации

SYSTEMS AND METHODS FOR CONTOURING A SET OF MEDICAL IMAGES

Номер: US20190012567A1
Автор: Piper Jonathan William
Принадлежит:

Systems and methods are provided for contouring a set of medical images. Deformation field data is generated between a source image and a target image of the set of medical images. The deformation field data relates structures in the source image to corresponding structures in the target image and is generated in accordance with a deformable registration algorithm. The deformation field data is utilized to generate target contour data associated with the target image from source contour data, associated with the source image, that identifies one or more objects within the source image. 1. A method of contouring a three-dimensional (3D) medical image , comprising:receiving a source image slice, from a set of two-dimensional (2D) image slices constituting the 3D medical image, and source contour data identifying one or more objects within the source image slice;receiving a selection of a target image slice, from the set of the 2D image slices;generating deformation field data from the source image slice and the target image slice in accordance with a deformable registration algorithm, the deformation field data correlates locations in the source image slice to related locations in the target image slice; andgenerating target contour data that identifies the one or more objects within the target image slice based on the source contour data and the deformation field data.2. The method of claim 1 , further comprising generating contour data for a subset of the set of 2D image slices constituting the 3D image by:identifying a next target image slice in the set of 2D image slices to contour;generating new deformation field data correlating locations in the target image slice to related locations in the next target image slice; andapplying the new deformation field data to the target contour data to generate new target contour data that identifies the one or more objects within the next target image slice.3. The method of claim 2 , further comprising utilizing the next ...

Подробнее
Номер записи: 82
10-01-2019 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20190012757A1
Автор: Shimada Akira
Принадлежит: KYOCERA Document Solutions Inc.

An image processing apparatus includes a line image detection unit and an image clipping unit. The line image detection unit detects a line image of a predetermined type contained in an image to be processed. The image clipping unit clips out a first surrounded region surrounded by the line image. The image clipping unit also clips out, when a line image that does not define the first surrounded region is present, a second surrounded region, surrounded by the line image and an imaginary line drawn between one end and the other of the line image, and generates a second clipped image. The image clipping unit superposes the respective imaginary lines of two second clipped images on each other, to thereby generate a composite image in which the two second clipped images are unified. 1. An image processing apparatus comprising:a detection unit that detects a line image of a predetermined type contained in an image to be processed; anda clipping unit that (i) clips out a first surrounded region surrounded by the line image from the image to be processed, and generates a first clipped image, (ii) clips out, when the line image that does not define the first surrounded region is present, (ii-i) a second surrounded region, surrounded by the line image and an imaginary line drawn between one end and the other of the line image, from the image to be processed, and generates a second clipped image, and (ii-ii) superposes, when two of the second clipped images are present, the respective imaginary lines of the two second clipped images on each other, to thereby generate a composite image in which the two second clipped images are unified.2. The image processing apparatus according to claim 1 ,wherein, when three or more of the second clipped images are present, the clipping unit selects two second clipped images out of the plurality of second clipped images, and repeatedly superposes the respective imaginary lines of the selected second clipped images on each other, until a ...

Подробнее
Номер записи: 83
14-01-2021 дата публикации

AUTOMATED PLANOGRAM ANOMALY DETECTION

Номер: US20210012272A1
Автор: Chakraborty Souradip, Dugar Pranay
Принадлежит:

An automated planogram anomaly detection solution rapidly and reliably identifies mismatches between planograms and actual item placement. Examples receive a real time (RT) image of a shelf unit corresponding to at least a first portion of a planogram; detect, within the RT image, item boundaries for a plurality of items on the shelf unit and tag boundaries for a plurality of tags associated with the shelf unit; extract text from at least one tag; extract attributes from at least one item; map the extracted item attributes with the extracted tag text; detect, based at least on the map, a planogram anomaly; and based at least on detecting the planogram anomaly, generate a report identifying the planogram anomaly (e.g., a mismatch between a tag and an item). Some examples compare the RT image with a ground truth (GT) image to detect anomalies, for example empty space on the shelf unit. 1. An automated planogram anomaly detection system , the system comprising:a processor; and receive a real time (RT) image of a shelf unit corresponding to at least a first portion of a planogram;', 'detect, within the RT image, item boundaries for a plurality of items on the shelf unit and tag boundaries for a plurality of tags associated with the shelf unit;', 'extract text from at least one tag of the plurality of tags, to produce extracted tag text;', 'extract attributes from at least one item of the plurality of items, to produce extracted item attributes;', 'map the extracted item attributes with the extracted tag text;', 'detect, based at least on the map, a planogram anomaly; and', 'based at least on detecting the planogram anomaly, generate a report identifying the planogram anomaly., 'a computer-readable medium storing instructions that are operative upon execution by the processor to2. The system of wherein the at least one item is located directly above the at least one tag.3. The system of wherein the instructions are further operable to:perform an edge detection process on ...

Подробнее
Номер записи: 84
10-01-2019 дата публикации

IMAGE PROCESSING APPARATUS AND METHOD

Номер: US20190012796A1
Автор: DOI Hiromasa, KONDO Kazuhiro, Nakagawa Takaaki, Okamoto Hideo, YAMASAKI RIO
Принадлежит:

The present technology relates to an image processing apparatus and method that allow to more accurately identify image processing target areas in an image. An image processing apparatus of the present technology includes a determination unit that determines, on the basis of reliability information indicating reliability of depth information, whether to make a determination on the basis of the depth information, the determination being as to whether an area is a target area for predetermined image processing, and the depth information indicating a depth of an image. The present technology can be applied to, for example, an imaging apparatus that captures a subject, a server that processes a captured image, etc. 1. An image processing apparatus comprisinga determination unit that determines, on the basis of reliability information indicating reliability of depth information, whether to make a determination on the basis of the depth information, the determination being as to whether an area is a target area for predetermined image processing, and the depth information indicating a depth of an image.2. The image processing apparatus according to claim 1 , wherein the determination unit determines claim 1 , on the basis of the depth information claim 1 , whether an area whose reliability of depth information is higher than a predetermined threshold value is a target area for the image processing.3. The image processing apparatus according to claim 2 , wherein the determination unit determines that an area whose depth is nearer than a predetermined threshold value is a target area for the image processing.4. The image processing apparatus according to claim 1 , wherein the determination unit determines claim 1 , on the basis of other information different than the depth information claim 1 , whether an area whose reliability of depth information is not higher than a predetermined threshold value is a target area for the image processing.5. The image processing apparatus ...

Подробнее
Номер записи: 85
10-01-2019 дата публикации

CALIBRATION VERIFICATION METHODS FOR AUTONOMOUS VEHICLE OPERATIONS

Номер: US20190012808A1
Автор: MOU Wei
Принадлежит: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Systems and method are provided for controlling a vehicle. In one embodiment, a vehicle includes a camera onboard the vehicle, a lidar device onboard the vehicle, a data storage element onboard the vehicle maintaining one or more transformation parameter values associated with a pairing of the camera and the lidar device, one or more sensors onboard the vehicle, and a controller. The controller detects a stationary condition based on output of the one or more sensors, obtains a first set of image data from the camera during the stationary condition, filters horizontal edge regions from the first set, obtains a second set of the ranging data during the stationary condition, and validates the one or more transformation parameter values based on a relationship between the filtered set of the image data and the second set of the ranging data. 1. A method of controlling a vehicle , the method comprising:detecting, by a control module onboard the vehicle, a stationary condition of the vehicle based on output of a sensor system onboard the vehicle; obtaining, by the control module, a first image from an imaging device onboard the vehicle during the stationary condition; and', 'obtaining, by the control module, a first set of ranging data corresponding to a field of view of the imaging device from a ranging device onboard the vehicle during the stationary condition;, 'in response to the stationary conditioncorrelating, by the control module, first edge regions from the first image with second edge regions of the first set of ranging data;detecting an anomalous condition exists based on a relationship between the correlated first and second edge regions relative to a reference relationship associated with the one or more transformation parameter values; andin response to the anomalous condition, initiating one or more remedial actions with respect to the anomalous condition.2. The method of claim 1 , wherein:detecting the anomalous condition comprises determining the ...

Подробнее
Номер записи: 86
14-01-2021 дата публикации

BOUNDARY-AWARE OBJECT REMOVAL AND CONTENT FILL

Номер: US20210012468A1
Автор: Bedi Ajay, Jain Ajay, Soni Sachin, Tagra Sanjeev
Принадлежит:

Systems and methods for removing objects from images are disclosed. An image processing application identifies a boundary of each object of a set of objects in an image. The image processing application identifies a completed boundary for each object of the set of objects by providing the object to a trained model. The image processing application determines a set of masks. Each mask corresponds to an object of the set of objects and represents a region of the image defined by an intersection of the boundary of the object and the boundary of a target object to be removed from the image. The image processing application updates each mask by separately performing content filling on the corresponding region. The image processing application creates an output image by merging each of the updated masks with portions of the image. 1. A computer-implemented method for training a conditional generative adversarial network to predict boundaries of objects , the method comprising:determining a reference boundary for an object within an image;creating, from the image, a set of training images, by applying a different randomly-generated mask to the reference boundary such that the mask obscures at last a part of the reference boundary; providing, to the discriminative model, a stream of images comprising the set of training images and a fake image generated by the generative model, wherein the fake image is randomly generated; and', 'updating one or more parameters of the generative model or the discriminative model such that a loss function is minimized., 'training a conditional generative adversarial network comprising a generative model and a discriminative model by2. The computer-implemented method of claim 1 , further comprising:identifying, using the conditional generative adversarial network, a set of boundaries between objects in an additional image; anddisplaying the set of boundaries on a device.3. The computer-implemented method of claim 1 , wherein the training ...

Подробнее
Номер записи: 87
14-01-2021 дата публикации

IMAGE-BASED RADIATION THERAPY QUALITY ASSURANCE

Номер: US20210012507A1
Автор: Kapatoes Jeffrey M., Simon Jeffery
Принадлежит: SUN NUCLEAR CORPORATION

Systems, methods, and computer software are disclosed for acquiring images during delivery of a radiation beam, the images capturing at least a portion of a shape representative of a radiation field generated by a radiation delivery system that includes a radiation source configured to deliver the radiation beam. 1. A computer program product comprising a non-transitory , machine-readable medium storing instructions which , when executed by at least one programmable processor , cause the at least one programmable processor to perform operations comprising:acquiring images during delivery of a radiation beam, the images capturing at least a portion of a shape representative of a radiation pattern generated by a radiation delivery system that includes a radiation source configured to deliver the radiation beam.2. The computer program product of claim 1 , wherein the images are acquired from a camera aimed at a computer monitor displaying the shape representative of the radiation pattern.3. The computer program product of claim 2 , wherein the camera is mounted in a fixed relationship to the computer monitor by mounting to the computer monitor itself or to another location nearby.4. The computer program product of claim 3 , wherein the camera is fixed to the computer monitor so that the camera will be at an angle of between 1 and 10 degrees relative to a screen of the computer monitor.5. The computer program product of claim 4 , wherein the camera is fixed to the computer monitor so that the camera will be at an angle of between 4 and 8 degrees relative to the screen of the computer monitor.6. The computer program product of claim 3 , wherein the camera is fixed at a location that maximizes the angle between the camera and the screen.7. The computer program product of claim 6 , wherein the location is a wall generally opposite the monitor.8. The computer program product of claim 3 , wherein the images are acquired at an angle not perpendicular to the computer monitor.9 ...

Подробнее
Номер записи: 88
14-01-2021 дата публикации

THREE-DIMENSIONAL (3D) DEPTH IMAGING SYSTEMS AND METHODS FOR DYNAMIC CONTAINER AUTO-CONFIGURATION

Номер: US20210012522A1
Автор: "OCONNELL KEVIN J.", Wang Lichen, Zhang Yan
Принадлежит:

Three-dimensional (3D) depth imaging systems and methods are disclosed for dynamic container auto-configuration. A 3D-depth camera captures 3D image data of a shipping container located in a predefined search space during a shipping container loading session. An auto-configuration application determines a representative container point cloud and (a) loads an initial pre-configuration file that defines a digital bounding box having dimensions representative of the predefined search space and an initial front board area; (b) applies the digital bounding box to the container point cloud to remove front board interference data from the container point cloud based on the initial front board area; (c) generates a refined front board area based on the shipping container type; (d) generates an adjusted digital bounding box based on the refined front board area; and (e) generates an auto-configuration result comprising the adjusted digital bounding box containing at least a portion of the container point cloud. 1. A three-dimensional (3D) depth imaging system for dynamic container auto-configuration , the 3D depth imaging system comprising:a 3D-depth camera configured to capture 3D image data, the 3D-depth camera oriented in a direction to capture 3D image data of a shipping container located in a predefined search space during a shipping container loading session, the shipping container having a shipping container type; anda container auto-configuration application (app) configured to execute on one or more processors and to receive the 3D image data, the container auto-configuration app configured to determine, based on the 3D image data, a container point cloud representative of the shipping container,wherein the container auto-configuration app is further configured to execute on the one or more processors to:(a) load an initial a pre-configuration file corresponding to the predefined search space, the pre-configuration file defining a digital bounding box having ...

Подробнее
Номер записи: 89
09-01-2020 дата публикации

ADVANCED VIDEO DATA STREAM EXTRACTION AND MULTI-RESOLUTION VIDEO TRANSMISSION

Номер: US20200012863A1
Автор: BROSS Benjamin, HELLGE Cornelius, SANCHEZ DE LA FUENTE Yago, SCHIERL Thomas, SKUPIN Robert, SUEHRING Karsten, WIEGAND Thomas
Принадлежит:

A concept for a video data stream extraction is presented which is more efficient namely which is, for example, able to more efficiently deal with video content of a type unknown to the recipient with videos of different type differing, for instance, in view-port-to-picture-plane projection, etc., or which lessens the extraction process complexity. Further, a concept is described using which a juxtaposition of different versions of a video scene, the versions differing in scene resolution, may be provided more efficiently to a recipient. 1. A video data stream comprisinga sequence of slice portions, each slice portion having encoded thereinto a respective slice of a plurality of slices of a picture of a video, wherein each slice portion comprises a slice address indicating a location where, in a picture area of the video, the slice is located which the respective slice portion has encoded thereinto; a first information defining the spatial section within the picture area, wherein none of the plurality of slices crosses borders of the spatial section; and', 'a second information signaling one of a plurality of options, or signalling explicitly, as to how to amend the slice address of the slice portion of each slice within the spatial section so as to indicate, within the reduced video data stream, the location where, in the decreased picture area, the respective slice is located., 'extraction information indicating how to extract from the video data stream a reduced video data stream having encoded thereinto a spatially smaller video corresponding to a spatial section of the video by confining the video data stream to slice portions having encoded thereinto any slice within the spatial section and amending the slice address so as to relate to a decreased picture area of the spatially smaller video, the extraction information comprising'}2. The video data stream according to claim 1 , wherein the first information defines the spatial section within the picture area as ...

Подробнее
Номер записи: 90
14-01-2021 дата публикации

Information Delivery Method and Information Delivery System Capable of Generating a Template for Displaying Information of Products

Номер: US20210012686A1
Автор: Chiu Wei-Min, Tseng Cheng-Te
Принадлежит:

An information delivery method includes acquiring an image including a shelf laminate and a plurality of products placed on the shelf laminate by an image capturing device, selecting a template from a plurality of templates for displaying on a display placed on the shelf laminate according to image information of the plurality of products, and displaying at least one selling message of each product of the plurality of products on a display region of the display according to the template. The template displayed on the display includes a plurality of display regions. Each display region of the plurality of display regions is consistent with an allocated width and an allocated position of a corresponding product. 1. An information delivery method comprising:acquiring an image comprising a shelf laminate and a plurality of products placed on the shelf laminate by an image capturing device;selecting a template from a plurality of templates for displaying on a display placed on the shelf laminate according to image information of the plurality of products; anddisplaying at least one selling message of each product of the plurality of products on a display region of the display according to the template;wherein the template displayed on the display comprises a plurality of display regions, each display region of the plurality of display regions is consistent with an allocated width and an allocated position of a corresponding product.2. The method of claim 1 , further comprising:identifying an identification code of the display for acquiring a resolution and a displayed width supported by the display according to the image;acquiring the allocated width and the allocated position of the corresponding product by using an edge detection process according to the image; andgenerating the plurality of templates according to the allocated width and the allocated position of the corresponding product, and according to the resolution and the displayed width supported by the display ...

Подробнее
Номер записи: 91
09-01-2020 дата публикации

INFORMATION PROCESSING APPARATUS, REBAR COUNTING APPARATUS, AND METHOD

Номер: US20200013170A1
Автор: Furuhashi Yukihito, HAYAKAWA Hirohisa, KOMIYA Yasuhiro, Morimoto Naoki, TAIRA Yohei, TAKAMATSU Kiiko, TANIGUCHI Toshikazu, YAMADA Kunio
Принадлежит:

An apparatus includes a memory and a processor connected to the memory, wherein the processor acquires a plurality of images of an installed rebar group that have been captured while an image capturing region is being moved in a direction intersecting the rebar group, detects a tracking target from a first edge portion, and correlates, when the processor has detected the tracking target from the first edge portion, either of a detection image that is an image of the detected tracking target or a captured image captured after the detection or alternative information generated on the basis of the detection image or the captured image with identification information for identifying a rebar belonging to the rebar group and located within a predetermined range from the tracking target, and records the image, or alternative information correlated with the identification information in a recording apparatus. 1. An information processing apparatus comprising:a memory; and acquires, in order of image capturing, a plurality of images of an installed rebar group that have been captured while an image capturing region is being moved in a direction intersecting the rebar group,', 'detects a tracking target from a first edge portion that is an edge portion of an image acquired by the acquisition and is also an edge portion in a movement direction in which the rebar group is moved within the image, and', 'correlates, when the processor has detected the tracking target from the first edge portion, either of a detection image that is an image of the detected tracking target or a captured image that is an image of the rebar group that has been newly captured after the detection of the tracking target or alternative information generated on the basis of the detection image or the captured image with identification information for identifying a rebar belonging to the rebar group and located within a predetermined range from the tracking target, and records the detection image, the ...

Подробнее
Номер записи: 92
09-01-2020 дата публикации

INFORMATION PROCESSING APPARATUS, METHOD OF PROCESSING DISTANCE INFORMATION, AND RECORDING MEDIUM RECORDING DISTANCE INFORMATION PROCESSING PROGRAM

Номер: US20200013185A1
Автор: Yoshimura Kazuhiro
Принадлежит: FUJITSU LIMITED

An information processing apparatus, includes: a memory; and a processor coupled to the memory and configured to: generate, based on three-dimensional point cloud data indicating three-dimensional coordinates of each point on a three-dimensional object, image data in which two-dimensional coordinates of each point and a depth of each point are associated with each other; specify, as a target point, a point of the three-dimensional point cloud data corresponding to an edge pixel included in an edge portion of the image data, and specifies, as a neighbor point, a point of the three-dimensional point cloud data corresponding to a neighbor pixel of the edge pixel; and eliminate the target point based on a number of the neighbor points at which a distance to the target point is less than a predetermined distance. 1. An information processing apparatus , comprising:a memory; anda processor coupled to the memory and configured to:generate, based on three-dimensional point cloud data indicating three-dimensional coordinates of each point on a three-dimensional object, image data in which two-dimensional coordinates of each point and a depth of each point are associated with each other;specify, as a target point, a point of the three-dimensional point cloud data corresponding to an edge pixel included in an edge portion of the image data, and specifies, as a neighbor point, a point of the three-dimensional point cloud data corresponding to a neighbor pixel of the edge pixel; andeliminate the target point based on a number of the neighbor points at which a distance to the target point is less than a predetermined distance.2. The information processing apparatus according to claim 1 , wherein the processor is configured to obtain the three-dimensional point cloud data from a distance sensor claim 1 , whereinthe distance sensor generates the three-dimensional point cloud data by executing a raster scan on the three-dimensional object and obtaining the three-dimensional ...

Подробнее
Номер записи: 93
09-01-2020 дата публикации

SYSTEM AND METHOD FOR VIRTUAL IMAGE ALIGNMENT

Номер: US20200013222A1
Автор: Fergie Martin Paul, Lewis James
Принадлежит:

A method of automatically generating an augmented reality view of an interior space using a mobile device comprising a display screen and a video camera, and located within the interior space. The method comprises obtaining data identifying an alignment point of a virtual model of the interior space. Displaying a video image from the camera on the display screen. Outputting a request to a user to point the camera at an alignment feature of the interior space corresponding to the alignment point. In response to receiving a user input indicating that the camera is pointing at the alignment feature, capturing an image from the camera. Analyzing the captured image to identify the alignment feature in the captured image corresponding to the alignment point. Analyzing the identified alignment feature to compute a transformation required to align the alignment point of the virtual model of the interior space with the alignment feature in the captured image corresponding to the alignment point. Using the computed transformation, the virtual model of the interior space, and a video image from the camera to provide an enhanced reality video image of the interior space on the display screen. 1. A mobile device for automatically generating an augmented reality view of an interior space , the mobile device comprising:a display screen;a video camera; andat least one processor; obtain data identifying an alignment point of a virtual model of the interior space;', 'display a video image from the camera on the display screen;', 'output a request to a user to point the camera at an alignment feature of the interior space corresponding to the alignment point; and', 'in response to receiving a user input indicating that the camera is pointing at the alignment feature, capture an image from the camera;', 'analyze the captured image to identify the alignment feature in the captured image corresponding to the alignment point; and', 'analyze the identified alignment feature to compute a ...

Подробнее
Номер записи: 94
10-01-2019 дата публикации

FOCUSING STATE PROMPTING METHOD AND SHOOTING DEVICE

Номер: US20190014255A1
Автор: Cui Xiaohui, Miao Lei, Zhao Yunze
Принадлежит: NUBIA TECHNOLOGY CO., LTD.

A focusing state prompting method and a shooting device are described. The method includes detecting whether there is a clear picture region in a preview interface using an edge detection algorithm; and if so, prompting that focusing is completed. 1. A method for prompting a focusing state , comprising:using an edge detection algorithm to detect whether there is a clear picture region in a preview;if yes, prompting that focusing is completed.2. The method for prompting the focusing state according to claim 1 , wherein said using an edge detection algorithm to detect whether there is a clear picture region in a preview comprises:using the edge detection algorithm to calculate a gray-level change value of a region where each pixel in the preview is located;if a gray-level change value of a pixel is greater than a preset threshold value, taking the pixel as an edge pixel; anddetermining a region defined by a plurality of edge pixels as the clear picture region.3. The method for prompting the focusing state according to claim 2 , wherein said using the edge detection algorithm to calculate a gray-level change value of a region where each pixel in the preview is located comprises:calculating gray-level values of a plurality of pixels around any one pixel in the preview, wherein a region consisting the any one pixel and the plurality of pixels around the any one pixel is a region where the any one the pixel is located;using the edge detection algorithm to calculate a gray-level change value of the region where the any one pixel is located according to the gray-level values; andthereby traversing all pixels in the preview to calculate the gray-level change value of the region where each pixel in the preview is located.4. The method for prompting the focusing state according to claim 1 , wherein said prompting that focusing is completed comprises: marking an edge of the clear picture region by using a distinctive color to prompt that the focusing is completed.5. The method ...

Подробнее
Номер записи: 95
10-01-2019 дата публикации

MICRO-SACCADIC ACTUATION FOR AN EVENT CAMERA

Номер: US20190014258A1
Автор: HORESH Nizan
Принадлежит:

Methods, apparatus, systems and articles of manufacture are disclosed relating to micro-saccadic actuation for an event camera. An example event-based imaging device includes a sensor including a pixel array and an optical pathway modulator to move, via a micro-saccadic movement, one or more components of an optical pathway including the sensor to shift incident light on the pixel array to cause a change in light intensity on the pixel in at least one pixel of the pixel array. 1. An event-based imaging device , comprising:an event-based sensor including a pixel array; andan optical pathway modulator to move, via a micro-saccadic movement, one or more components of an optical pathway to shift incident light on the pixel array to cause a change in light intensity on the pixel in at least one pixel of the pixel array,wherein the optical pathway includes the event-based sensor.2. The event-based imaging device of claim 1 , further including claim 1 , as a component of the optical pathway claim 1 , a lens.3. The event-based imaging device of claim 2 , wherein the event-based sensor includes a dynamic vision sensor.4. The event-based imaging device of claim 3 , further including claim 3 , as a component of the optical pathway claim 3 , a deflector disposed in the optical pathway between the lens and the dynamic vision sensor.5. The event-based imaging device of claim 4 , wherein the optical pathway modulator is to move the deflector via the micro-saccadic movement.6. The event-based imaging device of claim 4 , wherein the optical pathway modulator is to move claim 4 , via the micro-saccadic movement claim 4 , any one or more of the lens claim 4 , the dynamic vision sensor claim 4 , or the deflector.7. The event-based imaging device of claim 3 , wherein the optical pathway modulator is to move the dynamic vision sensor via the micro-saccadic movement.8. The event-based imaging device of claim 3 , wherein the dynamic vision sensor asynchronously outputs the change in light ...

Подробнее
Номер записи: 96
14-01-2021 дата публикации

Image processing apparatus, image processing method, and storage medium

Номер: US20210014383A1
Автор: Taisuke Ishiguro
Принадлежит: Canon Inc

A binary image is generated from a multivalued image based on a threshold, an edge is extracted from the multivalued image, an edge image is generated by correcting a position of the extracted edge, and a synthetic binary image is generated by synthesizing the edge image and the binary image.

Подробнее
Номер записи: 97
14-01-2021 дата публикации

METHOD OF CORRECTING DYNAMIC VISION SENSOR (DVS) EVENTS AND IMAGE SENSOR PERFORMING THE SAME

Номер: US20210014435A1
Автор: KIM Junseok, SEO Jongseok
Принадлежит:

A method of correcting dynamic vision sensor (DVS) events is described. The method generates event data including events representing motion information of an object included in an image. Additionally, the method generates image data capturing an image and generates edge data representing edge information of the image based on the image data. The method also generates omitted events of the event data based on the edge data. Accuracy of the event data and performance of machine vision devices and systems operating based on the event data are enhanced by supplementing the omitted events of the event data provided from the DVS, using the edge information. 1. A method of correcting dynamic vision sensor (DVS) events , comprising:generating, using DVS pixels, event data including events representing motion information of an object included in an image;generating, using image pixels, image data capturing the image;generating edge data representing edge information of the image based on the image data; andgenerating omitted events of the event data based on the edge data.2. The method of claim 1 , wherein each pixel of the edge data corresponds to a pixel of the event data.4. The method of claim 1 , further comprising:spatially synchronizing the edge data and the event data such that each pixel of the edge data corresponds to a pixel of the event data.6. The method of claim 1 , further comprising:temporally synchronizing the image data and the event data.7. The method of claim 1 , wherein generating the omitted events includes:obtaining a line sum value by summing multiplied values of the edge data and the event data by units of pixels in one direction, with respect to a target pixel and neighboring pixels of the target pixel among the DVS pixels;comparing the line sum value with a reference value; andgenerating the omitted event based on a result of the comparison.8. The method of claim 7 , wherein obtaining the line sum value includes:obtaining a horizontal line sum ...

Подробнее
Номер записи: 98
17-01-2019 дата публикации

AUTOMATED BLOOD VESSEL FEATURE DETECTION AND QUANTIFICATION FOR RETINAL IMAGE GRADING AND DISEASE SCREENING

Номер: US20190014982A1
Автор: Bhuiyan Mohammed Alauddin
Принадлежит: iHealthScreen Inc.

A method for vessel mapping and quantification. The method comprises pre-processing a retinal image to generate a vessel segmented image and processing the vessel segmented image to generate an image with a central light reflex. The method further includes identifying a cylindrical or tube-shaped region in the central light reflex and determining a closed contour representing the cylindrical shaped region and representing the closed contour by a function. The method computes a ratio of a minimum and maximum radius of the cylinder to determine an average shape of the cylinder associated with the central light reflex by using the function. The image is further processed to apply a morphological skeletonization operation to generate vessel centerlines and the segmented vascular network of the retinal image. In an example embodiment, a method for artery-vein nicking quantification for retinal blood vessels is performed by computing width of the vessel near and away from a cross over point of the vessels. In another example embodiment, a feature associate with the central light reflex is identified and compared with a second feature in the same location evaluated at a different time zone to confirm the associated shape of the light reflex. In another example embodiment, retinal focal arteriolar narrowing (FAN) is identified and quantified value is generated. In another example embodiment, a true optic disc is identified based on a combination of features and parameters associate with the vessel. 1. A method for vessel classification , the method comprising:pre-processing a retinal image to generate a vessel segmented image;first processing the vessel segmented image to generate an image with a central light reflex;identifying a cylindrical shaped region in the central light reflex;determining a closed contour representing the cylindrical shaped region and representing the closed contour by a function;computing a ratio of a minimum and maximum radius of the cylindrical ...

Подробнее
Номер записи: 99
03-02-2022 дата публикации

METHOD FOR DETERMINING GEOMETRICAL PARAMETERS OF A SOFT CONTACT LENS

Номер: US20220034752A1
Автор: Tonn Thomas
Принадлежит:

A method for determining geometrical parameters of a soft contact lens comprises the steps of 1. Method for determining geometrical parameters of a soft contact lens (CL) , the method comprising the steps ofproviding an OCT imaging device comprising an OCT light source;providing a soft contact lens (CL) having a back surface (BS) and a front surface (FS);arranging the soft contact lens (CL) relative to the OCT imaging device such that light coming from the OCT light source impinges on the back surface (BS) of the soft contact lens (CL);irradiating the soft contact lens (CL) with light from the OCT light source and generating a three-dimensional OCT image of the soft contact lens (CL) using the OCT imaging device;{'sub': 'i', 'from the three-dimensional OCT image determining a plurality of edge points (E) located on the edge (E) of the soft contact lens (CL);'}{'sub': 1', '2', '2', '3', 'i, 'connecting adjacent ones (E, E; E,E) of the edge points in a circumferential direction by individual straight lines, each of the individual straight lines having a length (U), to form an approximated circumference of the soft contact lens (CL);'}{'sub': 'i', 'summing up the lengths (U) of all individual straight lines, the sum of the lengths of all individual straight lines representing a length U of the approximated circumference of the soft contact lens (CL);'}from the so determined length U of the approximated circumference of the soft contact lens (CL) determining a diameter D of the soft contact lens (CL) according to the equation D=U/π.2. Method according to claim 1 , the method further comprising the step of determining a center (C) of the back surface (BS) of the soft contact lens by extracting the back surface (BS) of the soft contact lens (CL) from the three-dimensional OCT image claim 1 , and by determining that point on the back surface (BS) to be the center (C) of the back surface (BS) from which a sum of all shortest distances from that point along the back surface ...

Подробнее
Номер записи: 100