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131.
公开(公告)号:US09865051B2
公开(公告)日:2018-01-09
申请号:US14775271
申请日:2014-03-05
Applicant: Wake Forest University Health Sciences
Inventor: Youngkyoo Jung
CPC classification number: G06T7/0012 , A61B5/0042 , A61B5/0263 , A61B5/743 , A61B5/7445 , G06T7/155 , G06T7/90 , G06T11/008 , G06T2207/10081 , G06T2207/10088 , G06T2207/30016 , G06T2207/30101
Abstract: Methods, systems, computer programs, circuits and workstations are configured to generate at least one two-dimensional weighted CBF territory map of color-coded source artery locations using an automated vascular segmentation process to identify source locations using mutual connectivity in both image and label space.
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公开(公告)号:US20170243066A1
公开(公告)日:2017-08-24
申请号:US15590270
申请日:2017-05-09
Applicant: OLYMPUS CORPORATION
Inventor: Yoichi YAGUCHI
CPC classification number: G06K9/00765 , G06F17/30017 , G06K9/00684 , G06T7/12 , G06T7/155
Abstract: An image processing device including an image sequence acquisition section that acquires an image sequence that includes a plurality of images; and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence. The processing section detecting a scene change from the image sequence, setting a partial image sequence that includes images among the plurality of images included in the image sequence based on the detected scene change, selecting a reference image and a determination target image from the partial image sequence, and determining whether or not the determination target image can be deleted based on deformation information about the reference image and the determination target image.
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公开(公告)号:US09704258B2
公开(公告)日:2017-07-11
申请号:US15241097
申请日:2016-08-19
Applicant: HTC Corporation
Inventor: Sheng-Jie Luo , Liang-Kang Huang , Tzu-Hao Kuo , Yu-Ting Lee
CPC classification number: G06T7/194 , G06T7/11 , G06T7/155 , G06T7/50 , G06T2207/10024 , G06T2207/10028 , G06T2207/20104 , G06T2207/20156
Abstract: An image segmentation method includes displaying, through a display component, an image; receiving, through a user input component, a user command relative to an original designation region of the image; shrinking the original designation region according to first depth information corresponding to the image to generate a shrunk designation region of the image; generating a plurality of seeds according to the shrunk designation region and the user command; and segmenting the image according to the seeds to obtain at least one segmented region.
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公开(公告)号:US20240407751A1
公开(公告)日:2024-12-12
申请号:US18735761
申请日:2024-06-06
Applicant: Morphometrix Imaging Technologies, Inc.
Inventor: Barry McLeod , Ali Meghoufel
Abstract: The present technology relates to in vivo ultrasound imaging, and particularly to a proxy model of vascularity in soft and glandular tissue from two-dimensional ultrasound signals. The methods, processes, and systems herein are useful for detecting abnormal cell growth, and involve obtaining an ultrasound image of an anatomical structure of interest, isolating a region of interest (ROI) within the anatomical structure, identifying, within the ROI, one or more hyperechoic structures, subjecting the hyperechoic structures to 2D and 3D smoothing, or 2D and 3D thinning, or 2D and 3D application of one or more morphological operations, to produce closed segmented structures.
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公开(公告)号:US12100233B2
公开(公告)日:2024-09-24
申请号:US17609150
申请日:2020-05-08
Applicant: VRIJE UNIVERSITEIT BRUSSEL
IPC: G06K9/00 , G06T7/155 , G06V10/54 , G06V10/84 , G06V30/148 , G06V30/18 , G06V30/413 , G06V30/10
CPC classification number: G06V30/413 , G06T7/155 , G06V10/54 , G06V10/84 , G06V30/148 , G06V30/18076 , G06V30/10 , G06V30/18133
Abstract: A computer-implemented method is disclosed for segmenting a binarized document. The method includes extracting connected components from the binarized document and discriminating (for at least one of the connected components) whether it is a text component based on a homogeneity level value. The homogeneity level value is representative of the level of homogeneity within the local region of the connected component. The local region includes the connected component and at least one adjacent connected component. The homogeneity level value is based on at least one value representative of at least one image characteristic parameter determined for the connected component and on at least one value representative of the image characteristic parameter of the at least one adjacent connected component.
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公开(公告)号:US20240312015A1
公开(公告)日:2024-09-19
申请号:US18575402
申请日:2021-12-13
Inventor: Min Seob KWAK
CPC classification number: G06T7/0014 , G06T7/11 , G06T7/136 , G06T7/155 , G06T7/60 , G06T2207/20081 , G06T2207/20084 , G06T2207/30028 , G06T2207/30096 , G06T2207/30101
Abstract: An apparatus for lesion diagnosis and a method thereof are provided. The apparatus according to some example embodiments may perform acquiring a medical image of a subject, extracting a blood vessel region from the acquired medical image, measuring a distance between blood vessel bifurcation points in the extracted blood vessel region, and predicting a size of a lesion with respect to the measured distance. By doing this, the size of the lesion may be accurately predicted without intervention of human.
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公开(公告)号:US12062159B1
公开(公告)日:2024-08-13
申请号:US18401054
申请日:2023-12-29
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen
IPC: G06T5/70 , G06T5/40 , G06T5/60 , G06T7/11 , G06T7/136 , G06T7/155 , G06T7/194 , G06T7/90 , G06V20/10 , H04N23/84
CPC classification number: G06T5/70 , G06T5/40 , G06T5/60 , G06T7/11 , G06T7/136 , G06T7/155 , G06T7/194 , G06T7/90 , G06V20/188 , G06T2207/10024 , G06T2207/20032 , G06T2207/20036 , G06T2207/20081 , G06T2207/20084 , G06T2207/30188 , H04N23/84
Abstract: A camera apparatus includes control circuitry configured to acquire an input color image of an agricultural field, smoothen the input color image with a median blur and convert the smoothened input color image into a plurality of different color spaces. The control circuitry is configured to execute a set of channel operations on an individual channel or combined channels in each color space of the plurality of different color spaces and generate a normalized image based on outputs received from each color space processing path. The control circuitry is configured to determine a threshold value based on a histogram of the normalized image and apply the determined threshold value to generate a first binary mask image. The control circuitry is configured to apply one or more morphology operations to remove noise in the first binary mask image and generate an output binary mask image of foliage mask.
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公开(公告)号:US20240187748A1
公开(公告)日:2024-06-06
申请号:US18556268
申请日:2022-04-20
Applicant: The Rockefeller University
Inventor: Alipasha VAZIRI , Tobias NOEBAUER , Yuanlong ZHANG
IPC: H04N23/957 , G02B21/36 , G06T5/73 , G06T7/12 , G06T7/155 , G06T7/194 , G06T7/262 , G06T7/70 , G06V10/26 , G06V10/82 , G06V20/69 , H04N23/55 , H04N23/81
CPC classification number: H04N23/957 , G06T5/73 , G06T7/12 , G06T7/155 , G06T7/194 , G06T7/262 , G06T7/70 , G06V10/273 , G06V10/82 , G06V20/695 , G06V20/698 , H04N23/55 , H04N23/81 , G02B21/365 , G06T2207/10056 , G06T2207/20021 , G06T2207/20036 , G06T2207/20056 , G06T2207/20084 , G06T2207/30016 , G06T2207/30101
Abstract: A volumetric imaging system implements obtaining raw image data of a sample volume of a sample material, the raw image data comprising light field data of the sample volume acquired using a microlens array disposed in front of a camera; and analyzing the raw image data using an image analysis pipeline configured to localize the objects of interest in the raw image data to obtain classified image data in which the objects of interest have been identified, the image analysis pipeline being configured to process the raw image data to improve signal extraction at depth in the scattering material to maximize localization accuracy.
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公开(公告)号:US20240013540A1
公开(公告)日:2024-01-11
申请号:US18252113
申请日:2020-11-27
Inventor: Shaoming Zhu , Xue Ren
IPC: G06V20/50 , G06T7/90 , G06T7/13 , G06V10/56 , G06V10/44 , G06T7/155 , A01B69/00 , A01B69/04 , A01M21/00
CPC classification number: G06V20/50 , G06T7/90 , G06T7/13 , G06V10/56 , G06V10/44 , G06T7/155 , A01B69/001 , A01B69/008 , A01M21/00 , G06T2207/10024 , G06T2207/20021 , G06T2207/20036
Abstract: An obstacle recognition method includes determining a candidate obstacle region in a candidate weeding region image according to color information of the candidate weeding region image; obtaining contour information of the candidate obstacle region and chrominance information and value information of the candidate weeding region image; and determining, according to the contour information and the chrominance information, or the contour information, the chrominance information, and the value information, whether there is an obstacle in the candidate weeding region image. A related obstacle recognition apparatus, electronic device, computer-readable storage medium, and weeding robot are also disclosed.
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140.
公开(公告)号:US11854184B2
公开(公告)日:2023-12-26
申请号:US17149614
申请日:2021-01-14
Applicant: Applied Materials Israel Ltd.
Inventor: Shalom Elkayam , Shaul Cohen , Noam Zac
CPC classification number: G06T7/001 , G06T7/12 , G06T7/155 , G06T7/174 , G06T7/30 , G06T2207/10061 , G06T2207/20084 , G06T2207/30148
Abstract: There are provided systems and methods of obtaining a segmented image of a semiconductor specimen, the image comprising first structural elements, obtaining a reference image of the semiconductor specimen, the reference image being based on design data and comprising second structural elements, determining, for at least one pair of elements including a first structural element and a corresponding second structural element, data Dspat informative of a spatial transformation required in order to match the elements of the pair in accordance with a matching criterion, and determining at least one of data informative of a defect in the first structural element and data informative of edge roughness of the first structural element using at least Dspat.
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