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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

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Мониторинг СМИ

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

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Применить Всего найдено 16380. Отображено 100.

16-02-2012 дата публикации

Live coherent image selection

Номер: US20120039535A1

Автор: Gregg D. Wilensky, Jen-Chan Chien, Scott D. Cohen

Принадлежит: Adobe Systems Inc

Methods, systems, and apparatus, including computer program products, featuring receiving user input defining a sample of pixels from an image, the image being defined by a raster of pixels. While receiving the user input, the following actions are performed one or more times: pixels are coherently classified in the raster of pixels as being foreground or background based on the sample of pixels; and a rendering of the image is updated on a display to depict classified foreground pixels and background pixels as the sample is being defined.

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Номер записи: 1

01-03-2012 дата публикации

System for background subtraction with 3d camera

Номер: US20120051631A1

Автор: Daniel Palmer Dabbelt, Dennis Jinn Lin, Minh Ngoc Do, Quang Huu Nguyen, Sanjay Jeram Patel

Принадлежит: University of Illinois

A system for background image subtraction includes a computing device coupled with a 3D video camera, a processor of the device programmed to receive a video feed from the camera containing images of one or more subject that include depth information. The processor, for an image: segments pixels and corresponding depth information into three different regions including foreground (FG), background (BG), and unclear (UC); categorizes UC pixels as FG or BG using a function that considers the color and background history (BGH) information associated with the UC pixels and the color and BGH information associated with pixels near the UC pixels; examines the pixels marked as FG and applies temporal and spatial filters to smooth boundaries of the FG regions; constructs a new image by overlaying the FG regions on top of a new background; displays a video feed of the new image in a display device; and continually maintains the BGH.

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Номер записи: 2

01-03-2012 дата публикации

Method and System For Patient-Specific Modeling of Blood Flow

Номер: US20120053921A1

Автор: Charles A. Taylor

Принадлежит: HeartFlow Inc

Embodiments include a system for planning treatment for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of an anatomical structure of the patient, create a three-dimensional model representing at least a portion of the anatomical structure of the patient based on the patient-specific data, and determine a first fractional flow reserve within the anatomical structure of the patient based on the three-dimensional model and information regarding a physiological condition of the patient. The at least one computer system may be further configured to receive input from a user regarding a plan of treatment, modify the physiological condition of the patient based on the received input, and determine a second fractional flow reserve within the anatomical structure of the patient based on the modified physiological condition of the patient.

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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.

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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.

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Номер записи: 5

14-06-2012 дата публикации

Image processing apparatus for processing tomographic image of subject's eye, imaging system, method for processing image, and recording medium

Номер: US20120148130A1

Автор: Akihiro Katayama, Yuta Nakano

Принадлежит: Canon Inc

An image processing apparatus includes a detection unit configured to detect layers on the retina based on tomographic images of the retina, an acquisition unit configured to acquire a region having a larger curvature of the boundary surface between the retina and the corpus vitreum than a threshold value, and a determination unit configured to determine an optic disc of the retina based on the optical disc including a region where a specific layer is not detected by the detection unit and the region acquired by the acquisition unit.

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Номер записи: 6

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.

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Номер записи: 7

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.

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Номер записи: 8

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.

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Номер записи: 9

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.

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Номер записи: 10

29-11-2012 дата публикации

Method of Extracting Contour Lines of Image Data Obtained By Means of Charged Particle Beam Device, and Contour Line Extraction Device

Номер: US20120300054A1

Автор: Hiroaki Mito, Ryoichi Matsuoka

Принадлежит: Hitachi High Technologies Corp

The present invention is intended to provide a contour extraction method and a contour extraction device with an objective of either suppression of unnecessary contouring processings or selective contouring of necessary portions. To attain the objective, provided are a contour extraction method, and a device, with which contours of pattern edges on an image formed based on charged particles emitted from a sample are extracted and, when contouring of a pattern located in an overlapping region provided in connecting images of plural image-capturing regions to form a synthesized image is performed, either areas of the pattern in the plurality of image-capturing regions, or a pre-set measurement portion is found, and selective contour extraction of the pattern with respect to an image of an image-capturing region is carried out either on a side where the area is large, or on a side where a measurement portion regarding the pattern is located.

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Номер записи: 11

29-11-2012 дата публикации

Segmenting an image

Номер: US20120301017A1

Автор: Daniel Freedman

Принадлежит: Hewlett Packard Development Co LP

A technique includes representing an image to be segmented using a graph including vertices and edges, where a subset of the vertices is marked as belonging to a plurality of objects. The technique includes assigning weights to the edges based at least in part on color probability densities associated with the objects derived from the subset of vertices marked as belonging to the plurality of objects; and segmenting the image, including identifying boundaries of the objects based at least in part on the weights and the graph.

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Номер записи: 12

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.

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Номер записи: 13

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.

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Номер записи: 14

24-01-2013 дата публикации

Sample applicator sensing and positioning

Номер: US20130021461A1

Автор: David J. Zahniser, Eric LEKNES, Frank L. Pawlowski, Michael Zahniser, Russell ZAHNISER, Stephen Conroy

Принадлежит: Constitution Medical Inc

Systems and methods for positioning a sample applicator relative to a substrate include: (a) obtaining an image of the sample applicator in proximity to the substrate, where the image includes a direct image region corresponding to the sample applicator and a first reflected image region corresponding to an image of the sample applicator reflected from a surface of the substrate; (b) determining a position of an edge of the sample applicator in the direct image region; (c) determining a position of a reflected edge of the sample applicator in the first reflected image region; (d) determining a distance between the edge of the sample applicator and the reflected edge of the sample applicator; and (e) determining the position of the sample applicator relative to the substrate based on the distance between the edges.

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Номер записи: 15

14-03-2013 дата публикации

Method and system for patient-specific modeling of blood flow

Номер: US20130064438A1

Автор: Charles A. Taylor, Christopher K. Zarins, Gilwoo Choi, Timothy A. Fonte, Ying Bai

Принадлежит: HeartFlow Inc

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

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Номер записи: 16

14-03-2013 дата публикации

Method and system for patient-specific modeling of blood flow

Номер: US20130066618A1

Автор: Charles A. Taylor, Christopher K. Zarins, Gilwoo Choi, Timothy A. Fonte, Ying Bai

Принадлежит: HeartFlow Inc

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

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Номер записи: 17

18-04-2013 дата публикации

Non-linear projections of 3-d medical imaging data

Номер: US20130094720A1

Автор: Paul F. Stetson

Принадлежит: Carl Zeiss Meditec Inc

The present invention improves projection displays of volume data. Using the Minimum Intensity Projection (MinIP), fluid filled regions or other regions of hyporeflective tissue are displayed. By limiting the projection to partial volumes within the volume, differences in the scattering intensity within specific regions are isolated. In this way, hyperreflectivity of weakly scattering tissue can be assessed.

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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.

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Номер записи: 19

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.

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Номер записи: 20

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.

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Номер записи: 21

30-05-2013 дата публикации

Foreground subject detection

Номер: US20130136358A1

Автор: Bhaven Dedhia, Tommer Leyvand

Принадлежит: Microsoft Corp

Classifying pixels in a digital image includes receiving a primary image from one or more image sensors. The primary image includes a plurality of primary pixels. A depth image from one or more depth sensors is also received. The depth image includes a plurality of depth pixels, each depth pixel registered to one or more primary pixels. The depth image and the primary image are cooperatively used to identify whether a primary pixel images a foreground subject or a background subject.

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Номер записи: 22

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.

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Номер записи: 23

04-07-2013 дата публикации

Image processing

Номер: US20130173420A1

Автор: Jonathan Richard Thorpe, Michael John Williams, Mikael Carl Lang, Paul Edward Prayle, Ratna Beresford, Robert Mark Stefan Porter

Принадлежит: Sony Europe Ltd

An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect a similarity between the image under test and the one or more other images.

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Номер записи: 24

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.

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Номер записи: 25

01-08-2013 дата публикации

Executable virtual objects associated with real objects

Номер: US20130194164A1

Автор: Arthur Tomlin, Ben Sugden, Ben Vaught, Daniel McCulloch, Darren Bennett, Jason Scott, John Clavin, Kathryn Stone Perez, Kevin Geisner, Ryan Hastings, Stephen Latta, Wei Zhang

Принадлежит: Individual

Embodiments for interacting with an executable virtual object associated with a real object are disclosed. In one example, a method for interacting with an executable virtual object associated with a real object includes receiving sensor input from one or more sensors attached to the portable see-through display device, and obtaining information regarding a location of the user based on the sensor input. The method also includes, if the location includes a real object comprising an associated executable virtual object, then determining an intent of the user to interact with the executable virtual object, and if the intent to interact is determined, then interacting with the executable object.

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Номер записи: 26

22-08-2013 дата публикации

Image segmentation using reduced foreground training data

Номер: US20130216127A1

Автор: Andrew Blake, Carsten Curt Eckard Rother, Toby Sharp, Vladimir Kolmogorov

Принадлежит: Microsoft Corp

Methods of image segmentation using reduced foreground training data are described. In an embodiment, the foreground and background training data for use in segmentation of an image is determined by optimization of a modified energy function. The modified energy function is the energy function used in image segmentation with an additional term comprising a scalar value. The optimization is performed for different values of the scalar to produce multiple initial segmentations and one of these segmentations is selected based on pre-defined criteria. The training data is then used in segmenting the image. In other embodiments further methods are described: one places an ellipse inside the user-defined bounding box to define the background training data and another uses a comparison of properties of neighboring image elements, where one is outside the user-defined bounding box, to reduce the foreground training data.

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Номер записи: 27

22-08-2013 дата публикации

Method for evaluating blush in myocardial tissue

Номер: US20130217985A1

Автор: CHENG Chen, David Mark Henri GOYETTE, Peter DVORSKY, T. Bruce Ferguson, Jr.

Принадлежит: Novadaq Technologies ULC

Vessel perfusion and myocardial blush are determined by analyzing fluorescence signals obtained in a static region-of-interest (ROI) in a collection of fluorescence images of myocardial tissue. The blush value is determined from the total intensity of the intensity values of image elements located within the smallest contiguous range of image intensity values containing a predefined fraction of a total measured image intensity of all image elements within the ROI. Vessel (arterial) peak intensity is determined from image elements located within the ROI that have the smallest contiguous range of highest measured image intensity values and contain a predefined fraction of a total measured image intensity of all image elements within the ROI. Cardiac function can be established by comparing the time differential between the time of peak intensity in a blood vessel and that in a region of neighboring myocardial tissue both pre and post procedure.

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Номер записи: 28

26-09-2013 дата публикации

Corneal graft evaluation based on optical coherence tomography image

Номер: US20130251230A1

Автор: Beng Hai Lee, JIANG Liu, Jodhbir SINGH MEHTA, Jun Cheng, Ngan Meng Tan, Tiang Hwee Donald Tan, Tien Yin Wong, Wing Kee Damon Wong

Принадлежит: Agency for Science Technology and Research Singapore, SINGAPORE HEALTH SERVICES PTE LTD

An OCT image of an eye which has been subject to a DSAEK corneal transplant, in which a Descement's membrane in the cornea has been replaced by a graft, is processed to identify the outline of the graft. The process includes the steps of: computationally extracting the boundary of the cornea including the graft; computationally detecting the corners of the graft; computationally extracting points on the boundary between the graft and the original cornea; and computationally fitting the points on the boundary between the graft and the original cornea smoothly into a curve. The outline of the graft is then displayed. A graft profile may be generated, indicating the thickness of the graft at each point along its length.

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Номер записи: 29

03-10-2013 дата публикации

Image stream pipeline controller for deploying image primitives to a computation fabric

Номер: US20130257883A1

Автор: Scott A. Krig, Stewart N. Taylor

Принадлежит: Intel Corp

According to some embodiments, an image pipeline controller may determine an image stream having a plurality of image primitives to be executed. Each image primitive may be, for example, associated with an image algorithm and a set of primitive attributes. The image pipeline controller may then automatically deploy the set of image primitives to an image computation fabric based at least in part on primitive attributes.

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Номер записи: 30

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.

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Номер записи: 31

31-10-2013 дата публикации

Foreground subject detection

Номер: US20130287257A1

Автор: Bhaven Dedhia, Tommer Leyvand

Принадлежит: Microsoft Corp

Classifying pixels in a digital image includes receiving a primary image from a primary image sensor. The primary image includes a plurality of primary pixels. Depth information from a depth sensor is also received. The depth information and the primary image are cooperatively used to identify whether a primary pixel images a foreground subject or a background subject.

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Номер записи: 32

28-11-2013 дата публикации

Cut-line steering methods for forming a mosaic image of a geographical area

Номер: US20130315503A1

Автор: Frank Giuffrida, Robert Bradacs, Robert Gray, Stephen Schultz

Принадлежит: Pictometry International Corp

A method for automatically steering mosaic cut lines along preferred routes to form an output mosaic image includes creating an assignment map corresponding to the output mosaic image where each pixel has an initial designation of unassigned; marking each pixel of the assignment map that intersects the preferred routes as being a Preferred Cut Line pixel to divide the Assignment Map into one or more regions; searching for each region to locate one or more source images that cover that region; and using a Selection Heuristic or Pairing Heuristic to determine quality of coverage. The Preferred Cut Line pixels are redesignated to match the image assignments of their bounded regions, and the output mosaic image is formed by contributing pixel values from the source images based upon the designations set forth in the assignment map.

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Номер записи: 33

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.

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Номер записи: 34

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.

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Номер записи: 35

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.

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Номер записи: 36

30-01-2014 дата публикации

Cut line steering methods for forming a mosaic image of a geographical area

Номер: US20140029867A1

Автор: Frank Giuffrida, Robert Bradacs, Robert Gray, Stephen Schultz

Принадлежит: Pictometry International Corp

Systems and methods for creating a ground confidence map of a geographic area, comprising the steps of creating a ground confidence map of a geographic area, the ground confidence map having a plurality of pixels with each pixel corresponding to a particular geographic location; assigning the pixels in the ground confidence map with pixel values indicative of composite ground confidence scores by calculating composite ground confidence scores for the pixel values of common geographic regions within the overlapping portions of the source images within a kernel corresponding to the particular geographic location of the pixels; and storing pixel values indicative of a statistical probability that the geographical location represented by the particular pixels represent the ground.

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Номер записи: 37

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.

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Номер записи: 38

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.

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Номер записи: 39

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 ...

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Номер записи: 40

07-01-2021 дата публикации

Preoperatively planning an arthroplasty procedure and generating a corresponding patient specific arthroplasty resection guide

Номер: US20210000511A1

Автор: Boris E. Shpungin, Elena I. Pavlovskaia, Ilwhan Park, Keun Song, Michael Santarella, Oleg Mishin

Принадлежит: Howmedica Osteonics Corp

A method of planning an arthroplasty procedure on a femur and tibia of a patient. The method includes receiving a first two-dimensional image of the femur and the tibia, and identifying, in the first two-dimensional image, a proximal femur feature, a distal tibia feature, and a bone contour. The method further includes running a transformation process to align a bone model representative of the femur and the tibia into a coordinate system with the first two-dimensional image, the bone model having a bone model contour that is aligned with the bone contour of the femur and the tibia in the first two-dimensional image. And the method further includes applying an implant model to the bone model in order to determine coordinate locations for the arthroplasty resection.

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Номер записи: 41

03-01-2019 дата публикации

METHOD AND SYSTEM FOR IMAGE PROCESSING TO DETERMINE BLOOD FLOW

Номер: US20190000554A1

Автор: Taylor Charles A.

Принадлежит:

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

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Номер записи: 42

05-01-2017 дата публикации

Parameter estimation for mesh segmentation using random walks

Номер: US20170004627A1

Автор: Eleni Siampli, Leo Grady, Sajjad Hussain Baloch

Принадлежит: SIEMENS AG

A method for segmenting mesh models in digital images includes providing ( 11 ) a mesh surface model (V, F, E) of a shape embedded in a 3-dimensional space, providing ( 12 ) a ground truth segmentation of the mesh surface model, constructing ( 13 ) a feature vector v i composed of underlying geometric properties of the mesh at each vertex point, using ( 14 ) the ground truth segmentation and the feature vectors to determine weights w ij for edges e ij where the weights w ij are the probabilities of a random walker crossing edges e ij between vertices v i and v j in a random walker segmentation initialized with at least two seeds of different labels.

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Номер записи: 43

02-01-2020 дата публикации

Method and Apparatus for Multi-Dimensional Content Search and Video Identification

Номер: US20200004779A1

Автор: Merchant Shashank, Piereira Jose Pio, Stojancic Mihailo M.

Принадлежит:

A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures. 1. A computer-implemented method for storing information associated with videos in a reference database using hash values as traversal indexes , the computer-implemented method comprising: obtaining, by a processor, data associated with the video sequence,', 'determining, by the processor, a multi-dimensional vector signature of a region of a frame of the video sequence,', 'determining, by the processor, a hash value based on the multi-dimensional vector signature, and', 'storing the data associated with the video sequence at a leaf node of a plurality of leaf nodes, wherein the leaf node is addressable by the hash value., 'for each of multiple video sequences2. The computer-implemented method of claim 1 , wherein the region comprises multiple sectors claim 1 , and wherein the multi-dimensional vector signature represents each sector.3. The computer-implemented method of claim 2 , wherein determining the multi-dimensional vector signature comprises comparing features within each sector to a threshold value to generate a value for the sector.4. The computer-implemented method of claim 2 , wherein the region is a rectangular ...

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Номер записи: 44

02-01-2020 дата публикации

Method and Apparatus for Multi-Dimensional Content Search and Video Identification

Номер: US20200004780A1

Автор: Merchant Shashank, Pereira Jose Pio, Stojancic Mihailo M.

Принадлежит:

A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures. 1. A computer-implemented method for storing information associated with a video sequence in a reference database , the computer-implemented method comprising:obtaining, by a processor, data associated with the video sequence; and determining, by the processor, respective global features of a global region of interest,', 'determining, by the processor, respective local features of a respective keypoint within the global region of interest, wherein, for multiple frames of the set of frames of the video sequence, the respective keypoints correspond to different respective locations within the global region of interest,', 'generating, by the processor, a respective signature using both the global features for the frame and the local features for the frame,', 'determining, by the processor, a respective hash value for the frame based on the signature for the frame, and', 'storing, by the processor, the data associated with the video sequence in the reference database in association with the hash value for the frame., 'for each frame of a set of frames of the video sequence2. The computer-implemented method of claim 1 , wherein ...

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Номер записи: 45

02-01-2020 дата публикации

Method and Apparatus for Multi-Dimensional Content Search and Video Identification

Номер: US20200004781A1

Автор: Merchant Shashank, Pereira Jose Pio, Stojancic Mihailo M.

Принадлежит:

A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures. 1. A computer-implemented method comprising:obtaining, by a processor, a first query index and a second query index that are derived from different respective features of a frame of a query video;determining, by the processor, that a distance measure between the first query index and a candidate database index of a reference database satisfies a threshold condition, wherein the candidate database index corresponds to a frame of an original video;determining, by the processor, a correlation score for the frame of the query video and the frame of the original video based on a comparison of the second query index and an additional candidate database index corresponding to the frame of the original video;based at least on the correlation score, determining, by the processor, a video sequence likelihood indicative of a confidence of match between the query video and the original video; andbased on the video sequence likelihood, providing, by the processor, a results list that includes a name of the original video.2. The computer-implemented method of claim 1 , wherein the second query index corresponds to a texture signature of a ...

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Номер записи: 46

02-01-2020 дата публикации

Method and Apparatus for Multi-Dimensional Content Search and Video Identification

Номер: US20200004782A1

Автор: Jose Pio Pereira, Mihailo M. Stojancic, Shashank Merchant

Принадлежит: Gracenote Inc

A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.

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Номер записи: 47

13-01-2022 дата публикации

System and method of segmenting free space based on electromagnetic waves

Номер: US20220012506A1

Автор: Itai Orr, Moshe Cohen

Принадлежит: Wisense Technologies Ltd

A method and system for segmenting free space area, in real-time, based on data from an electromagnetic device may include: an image acquisition device adapted to capture an image of a scene; an electromagnetic device adapted to produce data corresponding to the scene; a non-transitory memory device, wherein modules of instruction code may be stored; and a processor, associated with the memory device, and configured to execute the modules of instruction code. Upon execution of said modules of instruction code, the processor may be configured to train a module to perceive elements in a scene.

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Номер записи: 48

07-01-2021 дата публикации

METHOD FOR MEASURING PLANT PLANTING DATA, DEVICE AND SYSTEM

Номер: US20210004594A1

Автор: Dai Shuangliang

Принадлежит:

A method for measuring plant planting data, and a method for planning operating route, device and system are provided, which relate to the technical field of plant protection. The method includes: training a deep network model using historical information of a planting region (S); receiving image information of the planting region (S); processing the image information of the planting region using a deep network model to obtain plant planting data (S); and outputting the plant planting data (S). The method for planning operating route utilizes the plant planting data obtained by the measuring method to plan an operating route. 1. A method for measuring plant planting data , comprising:receiving image information of a planting region; andprocessing the image information of the planting region using a preset recognition model to obtain plant planting data.2. The method for measuring plant planting data as claimed in claim 1 , wherein the image information comprises one or more piece of: mapping image information claim 1 , map information claim 1 , and picture information.3. The method for measuring plant planting data as claimed in claim 1 , wherein the preset recognition model is a deep network model claim 1 , and before receiving image information of a planting region claim 1 , the method for measuring plant planting data further comprises:receiving historical information of the planting region, the historical information of the planting region comprising historical image information and historical plant calibration information corresponding to the historical image information;extracting historical plant graphic features from the historical image information;processing the historical plant graphic features and the historical plant calibration information using a deep learning mode to obtain a loss value of the deep network model;optimizing the loss value of the deep network model using the historical plant calibration information to obtain a deep network model, the ...

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Номер записи: 49

13-01-2022 дата публикации

Assisted or Automatic Generating of a Digital Representation of an Annulus Structure of a Valve of a Human Internal Organ

Номер: US20220012887A1

Автор: Aleksei Vasilev, Julian Praceus

Принадлежит: Laralab GmbH

A method and a system automatically generate a digital representation of an annulus structure of a valve from a segmented digital representation of a human internal heart. The basis for the segmented digital representation is multi-slice computed tomography image data. The method includes automatically determining, for at least a first effective time point, based on a segmentation, i.e. labels, of a provided input segmented digital representation, a candidate plane, and/or a candidate orientation vector together with a candidate center point, arranged with respect to the input segmented digital representation for the first effective time point, and candidate points for the annulus structure are determined automatically. From the candidate points acting as support points, a candidate spline interpolation is generated which is then adapted based on the input segmented digital representation. The digital representation of the annulus structure is then generated based on the adapted candidate spline interpolation.

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Номер записи: 50

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 ...

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Номер записи: 51

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 ...

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Номер записи: 52

02-01-2020 дата публикации

SYSTEMS AND METHODS FOR EVALUATING ACCURACY IN A PATIENT MODEL

Номер: US20200005456A1

Автор: Hu Yangqiu

Принадлежит:

Systems, devices, and methods are described for providing patient anatomy models with indications of model accuracy included with the model. Accuracy is determined, for example, by analyzing gradients at tissue boundaries or by analyzing tissue surface curvature in a three-dimensional anatomy model. The determined accuracy is graphically provided to an operator along with the patient model. The overlaid accuracy indications facilitate the operator's understanding of the model, for example by showing areas of the model that may deviate from the modeled patient's actual anatomy. 18.-. (canceled)9. A system for indicating accuracy of image segmentation in a patient model , the system comprising:a processor; and ["create a three-dimensional bone surface model of a portion of a patient's bone from imaging data;", 'evaluate a first signal intensity gradient between a first point on a surface of the three-dimensional model and a second point spaced from the surface along a line extending from the surface at the first point; and', 'mark the first point on the three-dimensional with a first indicium model if the first signal intensity gradient exceeds a first threshold., 'a non-transitory, processor-readable storage medium in communication with the processor, wherein the non-transitory, processor-readable storage medium comprises one or more programming instructions that, when executed, cause the processor to10. The system of claim 9 , wherein the second point is spaced from the surface at a location outside the modeled bone.11. The system of claim 9 , wherein the second point is spaced from the surface at a location within the modeled bone.12. The system of claim 9 , wherein the non-transitory claim 9 , processor-readable storage medium further comprises one or more programming instructions that claim 9 , when executed claim 9 , cause the processor to: calculate a second signal intensity gradient between the first point and a third point spaced from the surface along the ...

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Номер записи: 53

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.

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Номер записи: 54

02-01-2020 дата публикации

DISPLAY CONTROL METHOD AND DISPLAY CONTROL APPARATUS

Номер: US20200005551A1

Автор: AOYAGI Tomohiro, BABA Tomoyuki, Karasudani Ayu, Kataoka Masahiro, Kozaki Takuya, MOTEKI Atsunori

Принадлежит: FUJITSU LIMITED

A display control method includes, displaying a first plurality of edge lines extracted from an image that includes a manufactured article, accepting designation for a second plurality of edge lines selected from the displayed first plurality of edge lines, identifying pairs each of which includes an edge line of the second plurality of edge lines and a line of a plurality of lines corresponding to the edge line, the plurality of lines being included in a three-dimensional model, determining a specific display posture of the three-dimensional model such that a positional relation between a first edge line and a first line included in a first pair satisfies a condition and a position of a second edge line and a position of a second line included in a second pair correspond to each other, and superimposing, in accordance with the specific display posture, the three-dimensional model on the image. 1. A computer-implemented display control method comprising:displaying a first plurality of edge lines extracted from an image that includes a manufactured article;accepting designation for a second plurality of edge lines selected from the displayed first plurality of edge lines;identifying pairs each of which includes an edge line of the second plurality of edge lines and a line of a plurality of lines corresponding to the edge line, the plurality of lines being included in a three-dimensional model described based on design data of the manufactured article;determining a specific display posture of the three-dimensional model such that a positional relation between a first edge line and a first line included in a first pair satisfies a condition and a position of a second edge line and a position of a second line included in a second pair correspond to each other; andsuperimposing, in accordance with the specific display posture, the three-dimensional model on the image.2. The display control method according to claim 1 , whereinthe identifying includes accepting ...

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Номер записи: 55

03-01-2019 дата публикации

SYSTEMS AND METHODS FOR VOLUMETRIC SEGMENTATION OF STRUCTURES IN PLANAR MEDICAL IMAGES

Номер: US20190005649A1

Автор: Avery Aaron, Chylla Roger, Gering David

Принадлежит:

Methods and systems for volumetric segmentation of structures in planar medical images. One example method includes displaying a first planar medical image. The method further includes receiving a user input indicating a line segment in the first planar medical image. The method also includes determining an inclusion region using the line segment. The inclusion region consists of a portion of the structure. The method further includes determining a containment region using the line segment. The containment region includes the structure. The method also includes determining a background region using the line segment. The background region excludes the structure. The method further includes determining a three dimensional (3D) contour of the structure using the inclusion region, the containment region, and the background region. The method also includes determining a long axis of the structure using the 3D contour. The method further includes outputting a dimension of the long axis. 1. A method for volumetric segmentation of a structure in a plurality of planar medical images , the method comprising:receiving, at an electronic processor, the plurality of planar medical images, wherein the plurality of planar medical images form a three dimensional (3D) volume including the structure;displaying, on a display, a first planar medical image from the plurality of planar medical images;receiving, with a user interface, a user input indicating a line segment in the first planar medical image;determining, with the electronic processor, an inclusion region of the 3D volume using the line segment, wherein the inclusion region consists of a portion of the structure;determining, with the electronic processor, a containment region of the 3D volume using the line segment, wherein the containment region includes the structure;determining, with the electronic processor, a background region of the 3D volume using the line segment, wherein the background region excludes the structure; ...

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Номер записи: 56

27-01-2022 дата публикации

Video processing for embedded information card localization and content extraction

Номер: US20220027631A1

Автор: Dennis KANYGIN, Mihailo Stojancic, Warren Packard

Принадлежит: STATS LLC

Metadata for one or more highlights of a video stream may be extracted from one or more card images embedded in the video stream. The highlights may be segments of the video stream, such as a broadcast of a sporting event, that are of particular interest. According to one method, video frames of the video stream are stored. One or more information cards embedded in a decoded video frame may be detected by analyzing one or more predetermined video frame regions. Image segmentation, edge detection, and/or closed contour identification may then be performed on identified video frame region(s). Further processing may include obtaining a minimum rectangular perimeter area enclosing all remaining segments, which may then be further processed to determine precise boundaries of information card(s). The card image(s) may be analyzed to obtain metadata, which may be stored in association with at least one of the video frames.

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Номер записи: 57

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 ...

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Номер записи: 58

12-01-2017 дата публикации

Method and magnetic resonance system for segmenting a balloon-type volume

Номер: US20170011526A1

Автор: Alexander Brost, Christoph Forman, Tanja Kurzendorfer

Принадлежит: Siemens Healthcare GmbH

In a method and magnetic resonance apparatus for segmenting a balloon-type volume having an inner surface and an outer surface in an image data record, that is provided to a computer, the image data record at least partially mapping a balloon-type volume, the computer is provided with a starting area and determines a first boundary surface as an inner surface of the balloon-type volume. The computer is provided with a starting surface in the balloon-type volume, and determines a second boundary surface as an outer surface of the balloon-type volume on the basis of the starting surface. The balloon-type volume is determined in the computer as a volume within the first boundary surface and the second boundary surface.

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Номер записи: 59

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.

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Номер записи: 60

11-01-2018 дата публикации

SYSTEM AND METHOD FOR IMAGE SEGMENTATION

Номер: US20180012365A1

Автор: "Chefdhotel Christophe", Ho Stanley, Nie Yao

Принадлежит:

An image segmentation method is disclosed that allows a user to select image component types, for example tissue types and or background, and have the method of the present invention segment the image according to the user's input utilizing the superpixel image feature data and spatial relationships. 1. An image analysis system for segmenting a digital image of a biological sample , the digital image comprising at least a first image component depicting a first tissue type of the biological sample and a second image component depicting a second tissue type of the biological sample or background , the image analysis system comprising an interface for receiving the digital image and a processor configured for performing the segmentation , the segmentation comprising:identifying a plurality of superpixels in the received digital image;for each of the superpixels, extracting a feature set, the feature set comprising and/or being derived from pixel intensity values of pixels contained in said superpixel;receiving at least a first and a second marking, the first marking covering one or more first ones of the superpixels, the first marked superpixels representing regions of the first image component, the second marking covering one or more second ones of the superpixels, the second marked superpixels representing regions of the second image component; computing a first combined distance between said unmarked superpixel and the one or more first marked superpixels, the first combined distance being a derivative of a feature-set-dependent distance between said unmarked superpixel and the one or more first marked superpixels and of a spatial distance between said unmarked superpixel and the one or more first marked superpixels;', 'computing a second combined distance between said unmarked superpixel and the one or more second marked superpixels, the second combined distance being a derivative of a feature-set-dependent distance between said unmarked superpixel and the one or ...

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Номер записи: 61

14-01-2021 дата публикации

PITCH DETERMINATION SYSTEMS AND METHODS FOR AERIAL ROOF ESTIMATION

Номер: US20210012041A1

Автор: Pershing Chris

Принадлежит:

User interface systems and methods for roof estimation are described. Example embodiments include a roof estimation system that provides a user interface configured to facilitate roof model generation based on one or more aerial images of a building roof. In one embodiment, roof model generation includes image registration, image lean correction, roof section pitch determination, wire frame model construction, and/or roof model review. The described user interface provides user interface controls that may be manipulated by an operator to perform at least some of the functions of roof model generation. In one embodiment, the user interface provides user interface controls that facilitate the determination of pitch of one or more sections of a building roof. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims. 1. A computer-implemented method , comprising:displaying an aerial image of a building having a roof comprising a plurality of planar roof sections that each have a corresponding pitch;displaying an interactive user interface control configured to be manipulated by an operator to align with a slope of a first planar roof section of the plurality of planar roof sections in order to specify pitch of the first planar roof section, wherein the interactive user interface control is overlaid on the aerial image of the building having the roof;receiving, based on alignment of the displayed interactive user interface control, an indication of the pitch of the first planar roof section of the plurality of planar roof sections of the roof of the building; andmodifying a model of the roof based on the received indication of the pitch of the first planar roof section.2. The method of claim 1 , wherein the interactive user interface control is configured to be manipulated by the operator to lie atop the first planar roof section and an ...

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Номер записи: 62

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.

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Номер записи: 63

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 ...

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Номер записи: 64

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 ...

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Номер записи: 65

10-01-2019 дата публикации

Image processing apparatus, training apparatus, image processing method, training method, and storage medium

Номер: US20190012790A1

Автор: Koichi Magai, Masato Aoba

Принадлежит: Canon Inc

There is provided with an image processing apparatus, for example, for image recognition. An extraction unit extracts a feature amount from a target image. An estimation unit estimates distribution of regions having attributes different from each other in the target image based on the feature amount.

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Номер записи: 66

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 ...

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Номер записи: 67

14-01-2021 дата публикации

VASCULAR DISSECTION DETECTION AND VISUALIZATION USING A SUPERIMPOSED IMAGE WITH AN IMPROVED ILLUSTRATION OF AN OUTERMOST VESSEL PERIPHERY

Номер: US20210012496A1

Автор: Bronkalla Mark D., Graf Ben, Sitek Arkadiusz, Xie Yiting

Принадлежит:

Methods and systems for detecting a dissection of an elongated structure in a three dimensional medical image. One system includes an electronic processor that receives the three dimensional medical image. The electronic processor determines a first periphery and a second periphery of the elongated structure, the first periphery and the second periphery associated with an enhancing part and a non-enhancing part, respectively, of the elongated structure. The electronic processor determines whether the first periphery or the second periphery best illustrates an outermost periphery of the elongated structure and generate a base image based on whether the first periphery or the second periphery best illustrates an outermost periphery of the elongated structure. The electronic processor superimposes a contrast image associated with the three dimensional image on top of the base image, detects a dissection in the elongated structure using the superimposed image, and outputs a medical report identifying the dissection. 1. A system for detecting a vascular dissection in an elongated structure in a three dimensional medical image , the system comprising: receive the three dimensional medical image,', 'determine a first periphery of the elongated structure included in the three dimensional medical image, wherein the first periphery is associated with an enhancing part of the elongated structure,', 'determine a second periphery of the elongated structure included in the three dimensional medical image, wherein the second periphery is associated with a non-enhancing part of the elongated structure,', 'determine whether the first periphery or the second periphery best illustrates an outermost periphery of the elongated structure,', 'generate a base image representing either the first periphery of the elongated structure or the second periphery of the elongated structure based on whether the first periphery or the second periphery best illustrates an outermost periphery of the ...

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Номер записи: 68

14-01-2021 дата публикации

Additional Developments to the Automatic Rig Creation Process

Номер: US20210012550A1

Автор: Alexis Paul Benoit Roche, Filipe Jose Ferreira De Abreu Almeida, Hugo Miguel dos Reis Pereira, José Carlos Guedes dos Prazeres Miranda, Mariana Ribeiro Dias, Thomas IORNS, Verónica Costa Teixeira Pinto Orvalho

Принадлежит: Didimo Inc

The disclosure provides methods and systems for automatically generating an animatable object, such as a 3D model. In particular, the present technology provides fast, easy, and automatic animatable solutions based on unique facial characteristics of user input. Various embodiments of the present technology include receiving user input, such as a two-dimensional image or three-dimensional scan of a user's face, and automatically detecting one or more features. The methods and systems may further include deforming a template geometry and a template control structure based on the one or more detected features to automatically generate a custom geometry and custom control structure, respectively. A texture of the received user input may also be transferred to the custom geometry. The animatable object therefore includes the custom geometry, the transferred texture, and the custom control structure, which follow a morphology of the face.

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Номер записи: 69

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 ...

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Номер записи: 70

10-01-2019 дата публикации

Image processing device, printing apparatus, image processing method, and non-transitory computer readable medium

Номер: US20190014227A1

Автор: Akira Yamada, Kazuyoshi Tanase

Принадлежит: Seiko Epson Corp

The disclosure includes an edge extracting unit configured to, based on image data corresponding to a print image, extract edge pixels forming an outline of a partial image, a dot formation specification determining unit configured to, based on the image data, determine dot formation specifications, and a print data generator configured to, based on the dot formation specifications, generate print data for causing execution of printing by a printing apparatus for printing the print image by discharging first ink on a printing medium and second ink that promotes spreading of the first ink on the printing medium to form the plurality of dots.

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Номер записи: 71

16-01-2020 дата публикации

DYNAMIC DENTAL ARCH MAP

Номер: US20200015943A1

Автор: Capron-Richard Sabrina, Henry Sebastien, JACOB Jean-Pascal, LAGARDERE Aude, REYNARD Delphine

Принадлежит:

Method for automatically assigning numeric labels to teeth in a dental arch map provides a segmented 3D surface image of patient dentition having identified individual teeth and determined tooth position in the dental arch. A tooth contour for the identified teeth is defined. The tooth type is identified as one of incisor, canine, premolar, or molar. A display of the tooth contour is labeled with an assigned tooth number according to the tooth position, tooth contour, and tooth type. The labeled mapping is displayed. 2. The method of further comprising editing the assigned tooth number according to an operator instruction.3. The method of further comprising acquiring a 3D surface image of patient dentition.4. The method of wherein the 3D surface image is from a cone beam computed tomography apparatus.5. The method of wherein the 3D surface image is from a structured light imaging apparatus.6. The method of wherein the 3D surface image is from an ultrasound apparatus.7. The method of further comprising segmenting the 3D surface image to identify individual teeth and to determine tooth position in the dental arch.8. The method of wherein segmenting the 3D surface image comprises using one or more of snake-based segmentation claim 6 , iterative segmentation techniques claim 6 , and region growing segmentation.9. The method of further comprising accepting and executing an operator instruction that corrects the segmentation for one or more teeth.10. The method of further comprising accepting and executing an operator instruction that corrects the identified tooth type for one or more teeth.11. The method of wherein the assigned tooth number conforms to one or more of Universal numbering claim 1 , ISO numbering claim 1 , and Palmer numbering notation.12. The method of wherein the assigned tooth number is determined using computer learning algorithms based on various patient data and tooth characteristics.13. The method of further comprising accepting an operator ...

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Номер записи: 72

03-02-2022 дата публикации

Systems and Methods for Facilitating Selection of Tools for Machine Vision Jobs

Номер: US20220035490A1

Автор: Basak Ankan, Conticello Thomas, West Christopher M.

Принадлежит:

Methods and systems for facilitating selection of tools for one or more machine vision jobs are disclosed herein. An example method may be performed by one or more processors and includes displaying, via a display screen, an interactive graphical user interface (GUI) of an application, the application configured to generate job scripts for imaging devices to execute and the application operating in a job construction mode. The method also includes displaying an image within the GUI and detecting a selection of a portion of the image. The method further includes analyzing the portion of the image to determine a corresponding tool for processing the portion of the image and displaying, within the interactive GUI, a user-selectable option to add the corresponding tool to a machine vision job. 1. A method for facilitating selection of tools for one or more machine vision jobs , the method comprising:displaying, by one or more processors via a display screen, an interactive graphical user interface (GUI) of an application, the application configured to generate job scripts for imaging devices to execute and the application operating in a job construction mode;displaying, by the one or more processors within the interactive GUI, an image;detecting, by the one or more processors, a selection of the a portion of the image;analyzing, by the one or more processors, the portion of the image to determine a corresponding tool for processing the portion of the image; anddisplaying, by the one or more processors within the interactive GUI, a user-selectable option to add the corresponding tool to a machine vision job.2. The method of claim 1 , further comprising:detecting, by the one or more processors, a selection of the user-selectable option to add the corresponding tool to the machine vision job;adding, in response to the selection of the user-selectable option, the corresponding tool to a job flow of the machine vision job; anddisplaying, by the one or more processors within ...

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Номер записи: 73

19-01-2017 дата публикации

Technique for measuring overlay between layers of a multilayer structure

Номер: US20170018066A1

Автор: Dhananjay Singh Rathore, Ishai Schwarzband, Itay Zauer, Ofer Adan, Olga Novak, Ran Goldman, Roman Kris, Shimon Levi, Yakov Weinberg

Принадлежит: Applied Materials Israel Ltd

A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

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Номер записи: 74

03-02-2022 дата публикации

MACHINE BASED THREE-DIMENSIONAL (3D) OBJECT DEFECT DETECTION

Номер: US20220036531A1

Автор: CHERKAS Andrey, Kalinichenko Alexey, Parpara Anatoliy, Shah Paren Indravadan

Принадлежит:

Systems and methods for machine based defect detection of 3D printed molds for orthodontic aligners are described. A method includes providing illumination of a 3D printed mold for an orthodontic aligner; generating a plurality of images of the 3D printed mold for the orthodontic aligner using one or more imaging devices, wherein each image of the plurality of images depicts a distinct region of the 3D printed mold for the orthodontic aligner; processing the plurality of images by a processing device to identify one or more types of manufacturing defects of the 3D printed mold for the orthodontic aligner, wherein for each type of manufacturing defect a probability that an image comprises a defect of that type of manufacturing defect is determined; and classifying, by the processing device, the 3D printed mold for the orthodontic aligner as defective based on identifying the one or more types of manufacturing defects. 1. A method of performing automated quality control for a three-dimensional (3D) printed mold for an orthodontic aligner , comprising:generating a plurality of images of the 3D printed mold for the orthodontic aligner using one or more imaging devices, wherein each image of the plurality of images depicts a distinct region of the 3D printed mold for the orthodontic aligner;processing the plurality of images by a processing device to identify one or more types of manufacturing defects of the 3D printed mold for the orthodontic aligner, wherein for each type of manufacturing defect a probability that an image comprises a defect of that type of manufacturing defect is determined; andclassifying, by the processing device, the 3D printed mold for the orthodontic aligner as defective based on identifying the one or more types of manufacturing defects.2. The method of claim 1 , wherein the processing is performed using a machine learning model trained to identify one or more types of manufacturing defects of a 3D printing process claim 1 , wherein an output of ...

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Номер записи: 75

03-02-2022 дата публикации

VISION-BASED WORKING AREA BOUNDARY DETECTION SYSTEM AND METHOD, AND MACHINE EQUIPMENT

Номер: US20220036562A1

Автор: BAO Xinliang, WU Yifei, ZHANG Wei

Принадлежит: Bongos Robotics Shanghai Co., LTD

The invention discloses a vision-based working area boundary detection system, method and machine equipment. When implementing the solution, we firstly train the constructed neural network model based on the training data set, extract and learn the features of the corresponding working area. Next, the neural network after training and learning is employed to perform real-time image semantic segmentation on the collected video images based on the extracted features, thereby perceiving the environment and identifying the boundaries of the working area. The solution provided by the present invention is based on neural network technology, and can efficiently identify the boundary of the working area through the extraction and learning of the features of the working area in the early stage, and has strong robustness to environmental perturbation such as lighting. 1. A vision-based working area boundaries detection system including a processor and a computer-readable medium storing a computer program; wherein when the computer program is executed by the processor:a constructed neural network model performs autonomous training and learning based on a training data set, extracts and learns features of a corresponding working area;the neural network after training performs real-time image semantic segmentation on collected video images based on the extracted features extracted by the training and learning, thereby perceiving the environment and identifying boundaries of the working area.2. The vision-based detection system of a working area boundary according to claim 1 , wherein the neural network model in the vision-based detection system includes multiple convolution layers claim 1 , multiple pooling layers claim 1 , and an output layer; the convolution layers and the pooling layers are stacked to extract image features; all layers update their parameters during a training phase claim 1 , and outputs the image real time segmentation result during an inference phase.3. The ...

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Номер записи: 76

17-01-2019 дата публикации

EFFICIENT CONTOURS AND GATING

Номер: US20190017921A1

Автор: Trotter Joseph, Wolf Christopher

Принадлежит:

Methods and systems for efficient contour and gating in flow cytometry are provided. Event data is compressed to reduce the number of points needed to represent polygon contours for the event data. Selection of a level within the contour then causes the generation of a gate. This allows limited resource devices, such as touchscreen wireless devices, to render and gate flow cytometry data in a resource efficient manner. 1. A computer-implemented method of polygon mesh reduction for flow cytometry events , the method comprising: receiving a requested density level for presenting data for flow cytometry events;', 'generating an initial contour diagram, wherein the initial contour diagram is defined by a plurality of polygons, said plurality of polygons representing regions corresponding to respective density levels for the data in two dimensions, and wherein each polygon is defined as at least a portion of one of a plurality of tiles that divide the initial contour diagram in two dimensions;', 'for a given tile included in the plurality of tiles of the initial contour diagram corresponding to the requested density level, identifying an adjacent tile to the given tile at the requested density level that defines a first polygon matching a second polygon defined by the given tile based at least in part on a tile code for the given tile, wherein the tile code comprises a set of elements, each element encoding a density level for a point defining the second polygon;', 'when the adjacent tile is identified, combining the first polygon and the second polygon into a larger polygon, thereby reducing the number of polygons to form a reduced contour diagram defined by less data than the data for the initial contour diagram; and', 'causing display of the reduced contour diagram for the requested density level., 'under control of one or more processors,'}2. The computer-implemented method of claim 1 , wherein generating the initial contour diagram comprises:receiving a set of data; ...

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Номер записи: 77

18-01-2018 дата публикации

METHOD AND SYSTEM FOR PREPARING TEXT IMAGES FOR OPTICAL-CHARACTER RECOGNITION

Номер: US20180018774A1

Автор: Kacher Olga Arnoldovna, Rybkin Vladimir, Zagaynov Ivan Germanovich

Принадлежит:

The current document is directed to methods and systems that straighten in the text lines of text-containing digital images. Initial processing of a text-containing image identifies the outline of a text-containing page. Next, aggregations of symbols, including words and word fragments, are identified within the outlined page image. The centroids and inclination angles of the symbol aggregations are determined, allowing each symbol aggregation to be circumscribed by a closest-fitting rectangle oriented in conformance with the inclination angle determined for the circumscribed symbol aggregation. A model is constructed for the text-line curvature within the text image based on the circumscribed symbol aggregations and is refined using additional information extracted from the text image. The model, essentially an inclination-angle map, allows for assigning local displacements to pixels within the page image which are then used to straighten the text lines in the text image. 1. An image-processing subsystem included within a device , appliance , or system that acquires an image containing text with curved text lines and inputs the acquired , text-containing image to the image-processing subsystem to generate a corresponding corrected image in which the text lines are straightened and have a rectilinear organization , the image-processing subsystem comprising:a separate hardware layer or a hardware layer shared with the device, appliance, or system that includes one or more processors, one or more memories; and identify a page sub-image within the text-containing image,', 'correct the vertical perspective of the page sub-image,', 'generate a text-line-curvature model for the page sub-image that associates inclination angles with pixels in the page sub-image,', 'generate local displacements, using the text-line-curvature model, for pixels in the page sub-image from the text-line-curvature model, and', 'transfer pixels from the page sub-image to a corrected page-sub- ...

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Номер записи: 78

17-01-2019 дата публикации

AUTOMATED MEASUREMENT BASED ON DEEP LEARNING

Номер: US20190019287A1

Автор: Bhatia Parmeet Singh, Bogoni Luca, Reda Fitsum Aklilu, SHINAGAWA Yoshihisa, Zhan Yiqiang, Zhou Xiang Sean

Принадлежит:

A framework for automated measurement. In accordance with one aspect, the framework detects a centerline point of a structure of interest in an image. A centerline of the structure of interest may be traced based on the detected centerline point. A trained segmentation learning structure may be used to generate one or more contours of the structure of interest along the centerline. One or more measurements may then be extracted from the one or more contours. 1. A system for automated measurement , comprising:a non-transitory memory device for storing computer readable program code; and receiving an image of an aorta,', 'detecting a centerline point of the aorta in the image,', 'tracing a centerline of the aorta using the detected centerline point as a starting point,', 'generating, by a trained segmentation learning structure, one or more contours of the aorta along the centerline,', 'extracting one or more measurements from the one or more contours, and', 'presenting the one or more measurements in a graphical user interface., 'a processor device in communication with the memory device, the processor being operative with the computer readable program code to perform steps including'}2. The system of wherein the processor is operative with the computer readable program code to extract multiple measurements continuously along the centerline of the aorta and present the multiple measurements as a continuous profile along the aorta in the graphical user interface.3. The system of wherein the processor is operative with the computer readable program code to extract multiple measurements at clinically standard points along the centerline of the aorta.4. The system of wherein the processor is operative with the computer readable program code to generate the one or more contours of the aorta along the centerline byextracting, from the received image, a cross-sectional image of the aorta, andproviding the cross-sectional image to the trained segmentation learning structure ...

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Номер записи: 79

17-01-2019 дата публикации

Interactive Cinemagrams

Номер: US20190019320A1

Автор: Sourabh Ravindran, Youngjun Yoo

Принадлежит: SAMSUNG ELECTRONICS CO LTD

A method, apparatus, and computer readable medium for interactive cinemagrams. The method includes displaying a still frame of a cinemagram on a display of an electronic device, the cinemagram having an animated portion. The method also includes after the displaying, identifying occurrence of a triggering event based on an input from one or more sensors of the electronic device. Additionally, the method includes initiating animation of the animated portion of the cinemagram in response to identifying the occurrence of the triggering event. The method may also include generating the image as a cinemagram by identifying a reference frame from a plurality of frames and an object in the reference frame, segmenting the object from the reference frame, tracking the object across multiple of the frames, determining whether a portion of the reference frame lacks pixel information during motion of the object, and identifying pixel information to add to the portion.

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Номер записи: 80

16-01-2020 дата публикации

Adjustment of architectural elements relative to facades

Номер: US20200020074A1

Автор: Adam J. Altman, Derek Halliday, Manish Upendran

Принадлежит: Hover Inc

Improper positioning of architectural features is corrected during construction or reconstruction of a multi-dimensional (e.g., 3D) building model using known architectural dimensions and known relationships to planes (facades). The system identifies architectural elements that have known architectural standard positions relative to planes within the multi-dimensional model. Dimensional measurements of architectural elements in the multi-dimensional model are used to properly position one or more architectural elements relative to associated planes within the multi-dimensional building model. For example, a window position on a 3D building model first façade is moved inward (offset) according to the known relationship of a window (architectural element) being inset relative to a façade (e.g., exterior wall). In addition, a window frame could be repositioned outwardly relative to the same façade plane based on a known relationship of a frame being located on an external surface of the façade (e.g., exterior wall).

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Номер записи: 81

16-01-2020 дата публикации

CUT-LINE STEERING METHODS FOR FORMING A MOSAIC IMAGE OF A GEOGRAPHICAL AREA

Номер: US20200020078A1

Автор: Bradacs Robert, Giuffrida Frank, Gray Robert, Schultz Stephen

Принадлежит:

Systems and methods are disclosed for creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having the same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map. 1. An apparatus for creating a mosaic image , comprising: 'creating a mosaic image of two or more geo-referenced source images, the geo-referenced source images having a same orientation, based on a ground confidence map created by analyzing pixels of one or more of the geo-referenced source images, the ground confidence map having values and data indicative of particular geographic locations represented by the values, at least one of the values indicative of a statistical probability that the particular geographic locations represented by the values represents the ground; and using routes for steering mosaic cut lines based at least in part on the values indicative of the statistical probability that the particular geographic locations represented by the values represents the ground of the ground confidence map, such that the routes have an increased statistical probability of cutting through pixels representative of the ground versus routes not based on the ground confidence map.', 'one or more non- ...

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Номер записи: 82

16-01-2020 дата публикации

IMAGE GENERATION DEVICE, IMAGE GENERATION METHOD, AND STORAGE MEDIUM STORING PROGRAM

Номер: US20200020088A1

Автор: Hayasaka Akihiro

Принадлежит: NEC Corporation

An image generation device includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: select a second face image from a plurality of face images stored in advance based on directions of faces included in the plurality of face images and a direction of a face included in an input first face image; deform the second face image based on feature points of the face included in the first face image and feature points of a face included in the second face image such that a face region of the second face image matches a face region of the first face image; and generate a third face image in which the face region of the first face image is synthesized with a region other than the face region of the deformed second face image. 1. An image generation device comprising:at least one memory storing a set of instructions; andat least one processor configured to execute the set of instructions to:select a second face image from a plurality of face images based on directions of faces included in the plurality of face images and a direction of a face of an input first face image;deform a sub-region of the second face image such that a shape of a second region becomes a shape of a first region, the sub-region including a perimeter line of the face region of the second face image, the second region being based on the perimeter line of the face region of the second face image and projected points in the second face image, the first region being based on a perimeter line of the face region of the first face image and perimeter points of the first image, the perimeter points being projected onto the projected points; andgenerate a third face image into which the first image and the deformed second image are synthesized such that the face region of the third face image includes the face region of the first face image and a region other than the face region of the third face image includes a region other than the ...

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Номер записи: 83

16-01-2020 дата публикации

DETECTING CROP RELATED ROW FROM IMAGE

Номер: US20200020103A1

Автор: Prehim John D., Sneyders Yuri, Van Roekel Jeffrey Allen

Принадлежит:

System and techniques for detecting a crop related row from an image are described herein. An image that includes several rows where the several rows including crop rows and furrows can be obtained. The image can be segmented to produce a set of image segments. A filter can be shifted across respective segments of the set of image segments to get a set of positions. A line can be fit members of the set of positions, the line representing a crop row or furrow. 1. A device for detecting a crop related row from image , the device comprising:a memory including instructions; and obtain an image that includes several rows, the several rows including crop rows and furrows;', 'segment the image to produce a set of image segments;', 'shift a filter across respective segments of the set of image segments to get a set of positions;', 'fit a line to members of the set of positions; and', 'communicate the line a receiver., 'processing circuitry that is configured by the instructions to2. The device of claim 1 , wherein the image is an intensity image.3. The device of claim 2 , wherein the intensity image is implemented as a grayscale image.4. The device of claim 3 , wherein a crop row is lighter than a furrow.5. The device of claim 1 , wherein segments in the set of image segments are scanlines of the image.6. The device of claim 1 , wherein claim 1 , to shift the filter across respective segments claim 1 , the processing circuitry is configured by the instructions to shift the filter across several segments in parallel.7. The device of claim 1 , wherein claim 1 , to shift the filter across respective segments claim 1 , the processing circuitry is configured by the instructions to use a first period on a first segment and a second period on a second segment.8. The device of claim 7 , wherein the first period and the second period are respectively selected based on a respective position of the first segment and the second segment in the image.9. The device of claim 8 , wherein ...

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Номер записи: 84

21-01-2021 дата публикации

Systems and methods for analytical detection of aneurysms

Номер: US20210019879A1

Автор: Kristen Catherine Karman-Shoemake, Mohamed Haithem Babiker, Val Smiricinschi

Принадлежит: Ischemaview Inc

Systems and methods for detecting an aneurysm are disclosed. The method includes forming a virtual skeleton model. The virtual skeleton model has a plurality of edges with each edge having a plurality of skeleton points. Each skeleton point is associated with a subset of the plurality of blood vessel surface points. The method includes virtually fitting elliptically shaped tubules for each edge of the virtual skeleton model and identifying a potential aneurysm based on the fitted elliptically shaped tubules.

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Номер записи: 85

25-01-2018 дата публикации

Method for evaluating blush in myocardial tissue

Номер: US20180020933A1

Автор: CHENG Chen, David Mark Henri GOYETTE, Peter DVORSKY, T. Bruce Ferguson, Jr.

Принадлежит: Novadaq Technologies ULC

Vessel perfusion and myocardial blush are determined by analyzing fluorescence signals obtained in a static region-of-interest (ROI) in a collection of fluorescence images of myocardial tissue. The blush value is determined from the total intensity of the intensity values of image elements located within the smallest contiguous range of image intensity values containing a predefined fraction of a total measured image intensity of all image elements within the ROI. Vessel (arterial) peak intensity is determined from image elements located within the ROI that have the smallest contiguous range of highest measured image intensity values and contain a predefined fraction of a total measured image intensity of all image elements within the ROI. Cardiac function can be established by comparing the time differential between the time of peak intensity in a blood vessel and that in a region of neighboring myocardial tissue both pre and post procedure.

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Номер записи: 86

21-01-2021 дата публикации

METHODS, SYSTEMS, AND SCANNERS FOR SCANNING BOUND DOCUMENTS WITH VARYING LIGHT INTENSITY

Номер: US20210021727A1

Автор: Arunachalam Ramanathan, Durai Shankar, Kumar Anandha, Velayutham Saranraj

Принадлежит: XEROX CORPORATION

The present disclosure discloses methods, systems and scanners for scanning document with varying light intensity. The method includes receiving a bound document positioned on an upper surface of a platen, for scanning, wherein the bound document, when opened for scanning, includes a flat region and a curved region. A distance between the bound document positioned on the platen and a contact image sensor (CIS) is continuously monitored and measured, to detect the curved region. Upon detection, a control command is generated to vary the intensity of the light to be emitted from a light source. Then, light with varying intensity is emitted for illuminating the curved region of the bound document. Thereafter, the light reflected from the bound document is received for capturing an image of the bound document. Finally, a digital version of the bound document is generated without any dark strip or without any distortion. 1. A scanner for scanning a bound document , the scanner comprising:a platen having an upper surface and a lower surface, wherein on the upper surface of the platen, a bound document is positioned for scanning, and wherein the bound document, when opened for scanning, comprises a flat region and a curved region;a scan head disposed beneath and in proximity of the lower surface of the platen, the scan head is to move across, and in proximity to, to the lower surface of the platen so as to scan the bound document placed on the upper surface of the platen;a light source to emit light for illuminating the bound document, wherein the light source comprises outer arrays of light emitting devices and inner arrays of light emitting devices;a contact image sensor (CIS) to receive the light reflected from the bound document for capturing an image of the bound document;at least one distance sensor to continuously monitor and measure a distance between the bound document and the CIS to detect the curved region of the bound document;a controlling processor, coupled ...

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Номер записи: 87

25-01-2018 дата публикации

MATCHING OBSERVATIONAL POINTS TO ROAD SEGMENTS REPRESENTED AS EDGES IN GRAPHS

Номер: US20180023959A1

Автор: Borshch Ievgenii, Ivanov Volodymyr, Pryakhin Alexey

Принадлежит:

In one embodiment, a match application identifies an edge corresponding to a road segment based on an observational point specifying an estimated position and an estimated heading. The match application performs search operations on a road network graph based on the estimated position to identify multiple candidate edges. For a first candidate edge, the match application computes a first quality level based on at least a distance between the estimated position and the first candidate edge and an angle between the estimated heading and a direction associated with the first candidate edge. Subsequently, the match application determines that the first quality level indicates that the first candidate edge has a higher quality than any other candidate edge. Finally, the match application transmits the first candidate edge to an application that associates content specified in relation to the estimated position with the first candidate edge. 1. A method for associating an observational point with a road segment , the method comprising:performing one or more search operations on a road network graph based on an estimated position associated with the observational point to identify a plurality of candidate edges, wherein each candidate edge included in the plurality of candidate edges corresponds to a different road segment;computing a first quality level associated with a first candidate edge included in the plurality of candidate edges based on at least a first distance and a first angle, wherein the first distance comprises a distance between the estimated position and the first candidate edge, and the first angle comprises an angle between an estimated heading associated with the observational point and a direction associated with the first candidate edge;determining that the first quality level is greater than a quality level associated with any other candidate edge included in the plurality of candidate edges; andin response to the determining, transmitting at least ...

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Номер записи: 88

25-01-2018 дата публикации

Crowdsourcing the collection of road surface information

Номер: US20180025235A1

Автор: Ofer Fridman

Принадлежит: Mobileye Vision Technologies Ltd

Systems and methods are provided for crowdsourcing road surface information collection. In one implementation, a method of collecting road surface information for a road segment may include receiving at least one image representative of a portion of the road segment, identifying in the at least one image at least one road surface feature along the portion of the road segment, determining a plurality of locations associated with the road surface feature according to a local coordinate system of the vehicle, and transmitting the determined plurality of locations from the vehicle to a server. The determined locations may be configured to enable determination by the server of a line representation of the road surface feature extending along the road segment.

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Номер записи: 89

25-01-2018 дата публикации

GRAIN QUALITY MONITORING

Номер: US20180025254A1

Автор: Boesch Hanke, Bruns Aaron J., Campoy Joan, Dima Cristian, Hageman John M., Herman Herman, Male Cason Robert, Pezzementi Zachary Abraham, Phelan James J., Sierra Victor S., Vallespi-Gonzalez Carlos, Wellington Carl Knox

Принадлежит:

A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations. 1. A method comprising:capturing an image of bulk grain;applying a feature extractor to the image to determine a feature of the bulk grain in the image;for each of a plurality of different sampling locations within the image, determining, based upon the feature of the bulk grain at the sampling location, a classification score for presence of a classification of material at the sampling location;outputting a signal indicating quality of the bulk grain of the image based upon an aggregate of the classification scores of the different sampling locations; andautomatically adjusting operational settings of a harvester based upon the signal as the harvester is traversing a field and as the bulk grain is being harvested by the harvester from plants in a growing medium.2. The method of comprising applying a plurality of feature extractors to the image to determine a plurality of features of the bulk grain in the image claim 1 , wherein the classification score for the presence of the classification of material at the sampling location is based upon the plurality of features of the bulk grain at the sampling location.3. The method of further comprising:segmenting the image into segments defined by presumed boundaries of individual bulk grain elements;determining a feature of each segment, wherein the classification score for the presence of the ...

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Номер записи: 90

10-02-2022 дата публикации

Generating an image mask for a digital image by utilizing a multi-branch masking pipeline with neural networks

Номер: US20220044366A1

Автор: Brian Price, He Zhang, Jianming Zhang, Salil TAMBE, Seyed Morteza Safdarnejad, Yilin Wang, Zijun WEI

Принадлежит: Adobe Inc

Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a plurality of neural networks in a multi-branch pipeline to generate image masks for digital images. Specifically, the disclosed system can classify a digital image as a portrait or a non-portrait image. Based on classifying a portrait image, the disclosed system can utilize separate neural networks to generate a first mask portion for a portion of the digital image including a defined boundary region and a second mask portion for a portion of the digital image including a blended boundary region. The disclosed system can generate the mask portion for the blended boundary region by utilizing a trimap generation neural network to automatically generate a trimap segmentation including the blended boundary region. The disclosed system can then merge the first mask portion and the second mask portion to generate an image mask for the digital image.

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Номер записи: 91

10-02-2022 дата публикации

NEURAL NETWORK FOR EYE IMAGE SEGMENTATION AND IMAGE QUALITY ESTIMATION

Номер: US20220044406A1

Автор: Badrinarayanan Vijay, Kaehler Adrian, Spizhevoy Alexey

Принадлежит:

Systems and methods for eye image segmentation and image quality estimation are disclosed. In one aspect, after receiving an eye image, a device such as an augmented reality device can process the eye image using a convolutional neural network with a merged architecture to generate both a segmented eye image and a quality estimation of the eye image. The segmented eye image can include a background region, a sclera region, an iris region, or a pupil region. In another aspect, a convolutional neural network with a merged architecture can be trained for eye image segmentation and image quality estimation. In yet another aspect, the device can use the segmented eye image to determine eye contours such as a pupil contour and an iris contour. The device can use the eye contours to create a polar image of the iris region for computing an iris code or biometric authentication. 120.-. (canceled)21. A method for training a convolutional neural network for eye image segmentation and image quality estimation , the method being performed by a system of one or more processors , and the method comprising:obtaining a training set of eye images;providing a convolutional neural network with the training set of eye images; andtraining the convolutional neural network with the training set of eye images,wherein the convolution neural network comprises a segmentation tower and a quality estimation tower, wherein the segmentation tower comprises segmentation layers and shared layers,wherein the quality estimation tower comprises quality estimation layers and the shared layers,wherein an output layer of the shared layers is connected to a first input layer of the segmentation tower and a second input layer of the segmentation tower,and wherein the output layer of the shared layers is connected to an input layer of the quality estimation layer.22. The method of claim 21 , wherein training the convolutional neural network with the training set of eye images comprises:processing an eye ...

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Номер записи: 92

10-02-2022 дата публикации

Method, apparatus for zone division of closed space and mobile device

Номер: US20220044410A1

Автор: Chenhao WU, Minsheng WU, Yiming Zhang, Zhen Chen

Принадлежит: Qfeeltech Beijing Co Ltd

A method includes obtaining a map of a closed space. The method also includes obtaining trajectory points. The method also includes processing the trajectory points, and recognizing a correct door in the closed space based on the map and a result of processing the trajectory points. The method also includes dividing the closed space into zones based on the correct door and the map.

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Номер записи: 93

10-02-2022 дата публикации

DETECTING CROP RELATED ROW FROM IMAGE

Номер: US20220044411A1

Автор: Preheim John D., Sneyders Yuri, Van Roekel Jeffrey Allen

Принадлежит:

System and techniques for detecting a crop related row from an image are described herein. An image that includes several rows—where the several rows including crop rows and furrows—can be obtained. The image can be segmented to produce a set of image segments. A filter can be shifted across respective segments of the set of image segments to get a set of positions. A line can be fit members of the set of positions, the line representing a crop row or furrow. 120-. (cancel)21. A device for detecting a crop related row from an image , the device comprising:a sensor configured for coupling with an agricultural vehicle, the sensor configured to observe two or more rows of an agricultural field, the agricultural field having crop rows and intervening furrows; an image segmenter configured to divide an observation of the sensor into two or more segments;', 'a selection module configured to obtain a filter having a frequency that corresponds to a position of the at least one row;', 'a filter module configured to obtain a frequency response by evaluating the filter using a first segment of the two or more segments;', 'a position module to determine a position of the at least one row based on a ratio of first and second components of the frequency response; and', 'a line fitting module configured to fit a line to the position of the at least one row, the line being representative of the at least one row in the agricultural field; and, 'a crop row detection system in communication with the sensor, the crop row detection system configured to identify and index at least one row of the two or more rows of the agricultural field, the crop row detection system includesa steering controller in communication with the crop row detection system, the steering controller configured to receive the line as a basis for control of the agricultural vehicle.22. The device of claim 21 , wherein a frequency spectrum of the filter has a single frequency.23. The device of claim 22 , wherein to ...

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Номер записи: 94

10-02-2022 дата публикации

Identifying image segmentation quality using neural networks

Номер: US20220044412A1

Автор: Daguang Xu, DONG Yang, Fengze Liu, Yingda Xia

Принадлежит: Nvidia Corp

Comparison logic compares boundaries of features of or more images based, at least in part, on identifying boundaries and indication logic coupled to the comparison logic to indicate whether the boundaries differ by at least a first threshold. The boundaries might comprise a first label mask representing boundaries of objects in an image that are boundaries in a segmentation determined from a segmentation process and a second label mask from a shape evaluation process applied to the first label mask. The indication logic might be configured to compare the first label mask and the second label mask to determine a quality of the segmentation. A neural network might perform the segmentation. Shape evaluation using the first label mask as an input and the second label mask as an output might be performed by a variational autoencoder. A graphical processing unit (GPU) might be used for the segmentation and/or the autoencoder.

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Номер записи: 95

10-02-2022 дата публикации

GENERATION OF POINTS IDENTIFYING DISPLACED PORTIONS OF AN IMAGE

Номер: US20220044432A1

Автор: Moroney Nathan

Принадлежит: Hewlett-Packard Development Company, L.P.

According to examples, an apparatus may include a processor and a non-transitory computer readable medium on which is stored instructions that the processor may execute to determine displacement levels of multiple locations of an image and to select a sampling density for the multiple locations. The processor may execute the instructions to generate an array of points according to the selected sampling density, the array of points identifying displaced portions of the image. 1. An apparatus comprising:a processor; and determine displacement levels of multiple locations of an image;', 'select a sampling density for the multiple locations; and', 'generate an array of points according to the selected sampling density, the array of points identifying displaced portions of the image., 'a non-transitory computer readable medium on which is stored instructions that when executed by the processor, are to cause the processor to2. The apparatus of claim 1 , wherein to determine the displacement values of the various locations claim 1 , the instructions are further to cause the processor to:decompose the image into a plurality of lines, wherein each of the plurality of lines intersects with a plurality of other lines in the plurality of lines;for each line in the plurality of lines, generate line data that identifies first values at positions on the image corresponding to locations across the line;determine, from the generated line data, second values at intersections of the plurality of lines, the second values differing from the first values; andbased on the determined second values, generate a map that approximates non-flat portions of the image.3. The apparatus of claim 2 , wherein to generate the array of points claim 2 , the instructions are further to cause the processor to determine claim 2 , from the generated map claim 2 , a two-dimensional array of points that samples non-flat features of the image.4. The apparatus of claim 3 , wherein the instructions are further ...

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Номер записи: 96

24-01-2019 дата публикации

METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR DETERMINING VEHICLE LANES OF A ROAD SEGMENT BASED ON RECEIVED PROBE DATA

Номер: US20190026591A1

Автор: Fowe James, Pellolio Filippo

Принадлежит:

A method is provided to determine a number of vehicle travel lanes along a road segment. A method may include: receiving probe data from a plurality of probes, where the probe data includes probe data points having location and heading; matching the probe data to a road segment to generate map-matched probe data; analyzing the probe data relative to the road segment to establish a multi-modal distribution of probe data representing a distance of the probe data from a predefined reference position of the road segment; determining a number of vehicle travel lanes of the road segment based on peaks in the established multi-modal distribution being associated with individual lanes; and providing the determined number of vehicle travel lanes and the associated road segment to a map services database for lane-level route guidance. 1. A map services provider system comprising:a memory configured to receive probe data points from a plurality of probes, wherein the probe data comprises at least one of heading information and location information for each probe data point; and match the probe data to a road segment to generate map-matched probe data;', 'analyze the probe data relative to the road segment to establish a multi-modal distribution of probe data representing a distance of the probe data from a predefined reference position of the road segment;', 'determine a number of vehicle travel lanes of the road segment based on peaks in the established multi-modal distribution being associated with individual lanes; and', 'provide the determined number of vehicle travel lanes and the associated road segment to a map services database for lane-level route guidance., 'processing circuitry configured to2. The system of claim 1 , wherein the multi-modal distribution of probe data is determined by a multimodality detection and clustering algorithm.3. The system of claim 1 , wherein the processing circuitry configured to analyze the probe data relative to the road segment to ...

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Номер записи: 97

24-01-2019 дата публикации

PATTERN INSPECTION APPARATUS AND PATTERN INSPECTION METHOD

Номер: US20190026596A1

Автор: Shiratsuchi Masataka

Принадлежит: NuFlare Technology, Inc.

According to one aspect of the present invention, a pattern inspection apparatus includes reference outline creation processing circuitry configured to create a reference outline of a reference figure pattern, which serves as a reference, by using pattern data of a design pattern that serves as a base of a figure pattern formed on a substrate; outline extraction processing circuitry configured to extract an outline of the figure pattern in the measurement image from the measurement image using, as starting points, a plurality of points that are positioned on the reference outline; and comparison processing circuitry configured to compare the reference outline with the outline of the figure pattern. 1. A pattern inspection apparatus comprising:a measurement image acquisition mechanism configured to acquire a measurement image, which is a secondary electron image or an optical image of a figure pattern, from a substrate on which the figure pattern is formed by using electron beams or laser beams;reference outline creation processing circuitry configured to create a reference outline of a reference figure pattern, which serves as a reference, by using pattern data of a design pattern that serves as a base of the figure pattern formed on the substrate;outline extraction processing circuitry configured to extract an outline of the figure pattern in the measurement image from the measurement image using, as starting points, a plurality of points that are positioned on the reference outline; andcomparison processing circuitry configured to compare the reference outline with the outline of the figure pattern.2. The apparatus according to claim 1 , further comprising:alignment processing circuitry configured to perform alignment of the reference outline and the outline of the figure pattern,wherein the comparison processing circuitry compares the reference outline subjected to the alignment and the outline of the figure pattern subjected to the alignment.3. The apparatus ...

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Номер записи: 98

24-01-2019 дата публикации

Method of visualizing defect using design data and defect detection method

Номер: US20190026881A1

Автор: Yoshishige Sato

Принадлежит: NGR Inc

A method of visualizing a defect of a pattern constituting a semiconductor device with a high accuracy in a wide range is disclosed. The method of visualizing a defect, includes: generating pattern images with a scanning electron microscope; superimposing the pattern images while aligning positions of patterns in the pattern images; calculating a variance of gray level over the pattern images for each of inspection areas on the patterns; creating a false-color image by color-coding the inspection areas according to magnitude of the variance; and displaying the false-color image.

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Номер записи: 99

24-01-2019 дата публикации

AUTOMATIC MODE SWITCHING IN A VOLUME DIMENSIONER

Номер: US20190026898A1

Автор: Ackley H. Sprague

Принадлежит:

Dimensioners and methods for dimensioning an object includes capturing, using a dimensioning system with a single sensor, at least one range image of at least one field-of-view, and calculating dimensional data of the range images and storing the results. Wherein, the number of views captured of the object is automatically determined based on one of three modes. The first mode is used if the object is a cuboid, or has no protrusions and only one obtuse angle that does not face the point of view, where it captures a single view of the object. The second mode is used if the object includes a single obtuse angle, and no protrusions, where it captures two views of the object. The third mode is used if the object includes a protrusion and/or more than one obtuse angle, overhang, protrusion, or combinations thereof, where it captures more than two views of the object. 120-. (canceled)21. A dimensioning system , comprising:a pattern projector configured to project a light pattern onto an object;a range camera configured to capture a first light pattern image of the object from a first view and generate a first range image based on the first light pattern image; and calculate a first set of dimensions of the object based on the first range image;', 'determine that the object comprises one or more obtuse angles based on the first range image;', 'cause the range camera to capture a second light pattern image of the object from a second view and generate a second range image based on the second light pattern image, wherein the second view is different from the first view;', 'calculate a second set of dimensions of the object based on the second range image; and', 'determine a minimum bounding box for the object based at least on the first set of dimensions and the second set of dimensions., 'a processor communicatively coupled to the pattern projector and the range camera, wherein the processor is configured by software to22. The dimensioning system of claim 21 , wherein when ...

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Номер записи: 100