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公开(公告)号:US12100160B2
公开(公告)日:2024-09-24
申请号:US17609413
申请日:2021-05-17
发明人: Qingsong Xu , Qing Li
CPC分类号: G06T7/13 , G06V10/42 , G06V10/457 , G06T2207/20081 , G06T2207/20084
摘要: An edge detection method, an edge detection device, an electronic apparatus, and a storage medium are provided. The method includes: processing an input image to obtain a line drawing of grayscale contours, where the input image includes an object with edges, and the line drawing includes lines; merging the lines to obtain reference boundary lines; processing the input image to obtain boundary regions corresponding to the object; for each of the reference boundary lines, comparing the reference boundary line with the boundary regions, calculating a number of pixels on the reference boundary line belonging to the boundary regions to serve as a score of the reference boundary line to determine a plurality of scores corresponding to the reference boundary lines one-to-one; determining target boundary lines according to the reference boundary lines, the scores, and the boundary regions; and determining edges of the object according to the target boundary lines.
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公开(公告)号:US20240273720A1
公开(公告)日:2024-08-15
申请号:US18641184
申请日:2024-04-19
发明人: Zhongyi Yang , Sen Yang , Jinxi Xiang , Jun Zhang , Xiao Han
CPC分类号: G06T7/0012 , G06T3/40 , G06T7/11 , G06T7/194 , G06V10/42 , G06V10/44 , G06V10/764 , G06T2207/20076 , G06T2207/20081 , G06T2207/30096 , G06V2201/03
摘要: This application discloses a method for determining a lesion region, and a model training method and apparatus, and relates to the field of computer vision technologies. The method includes the following steps: sampling a pathological image by a first sampling way to obtain at least two first instance images (310); determining a candidate lesion region in the pathological image, based on feature information extracted from the at least two first instance images (320); sampling the candidate lesion region by a second sampling way to obtain at least two second instance images, where an overlap degree between the second instance images is greater than that between the first instance images (330); and determining lesion indication information of the pathological image, based on feature information extracted from the at least two second instance images, where the lesion indication information is used for indicating the lesion region in the pathological image (340). In this application, the consumption of human resources is reduced, and costs required to determine the lesion region are saved.
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公开(公告)号:US20240252150A1
公开(公告)日:2024-08-01
申请号:US18636651
申请日:2024-04-16
IPC分类号: A61B8/08 , A61B8/00 , A61B8/12 , A61B8/14 , G01S15/89 , G06F16/51 , G06F18/22 , G06T7/00 , G06T7/10 , G06T7/60 , G06T7/70 , G06T15/00 , G06V10/42
CPC分类号: A61B8/523 , A61B8/085 , A61B8/0883 , A61B8/14 , A61B8/463 , A61B8/483 , G01S15/8993 , G06F16/51 , G06F18/22 , G06T7/0014 , G06T7/10 , G06T7/60 , G06T7/70 , G06T15/005 , G06V10/42 , A61B8/12 , G06T2207/10136 , G06T2207/30048 , G06T2207/30168
摘要: An ultrasound imaging system having an image processor configured to receive at volume data resulting from a three-dimensional ultrasound scan of a body and to provide corresponding display data, an anatomy detector configured to detect a position and orientation of an anatomical object of interest within the volume data, a slice generator for generating a plurality of two-dimensional slices from the volume data, wherein the slice generator is configured to define respective slice locations based on the results of the anatomy detector for the anatomical object of interest so as to obtain a set of two-dimensional standard views of the anatomical object of interest, wherein the slice generator is further configured to define for each two-dimensional standard view which anatomical features of the anatomical object of interest are expected to be contained. An evaluation unit evaluates a quality factor for each of the two-dimensional slices.
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公开(公告)号:US12051231B2
公开(公告)日:2024-07-30
申请号:US17525131
申请日:2021-11-12
申请人: X Development LLC
发明人: Laura Chrobak , Barnaby John James
IPC分类号: G06V10/42 , A01K61/95 , G06F18/21 , G06F18/23213 , G06F18/2433 , G06T7/00 , G06T7/62 , G06T7/70 , G06V20/05 , G06V40/10
CPC分类号: G06V10/42 , A01K61/95 , G06F18/2185 , G06F18/23213 , G06F18/2433 , G06T7/0012 , G06T7/62 , G06T7/70 , G06V20/05 , G06V40/10 , G06T2207/20081 , G06T2207/20084
摘要: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sorting fish in aquaculture. In some implementations, one or more images are obtained of a particular fish within a population of fish. Based on the one or more images of the fish, a data element is determined. The data element can include a first value that reflects a physical characteristic of the particular fish, and a second value that reflects a condition factor of the particular fish. Based on the data element, the fish is classified as a member of a particular subpopulation of the population of fish. An actuator of an automated fish sorter is controlled based on classifying the particular fish as a member of the particular subpopulation of the population of fish.
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公开(公告)号:US20240221400A1
公开(公告)日:2024-07-04
申请号:US18603081
申请日:2024-03-12
CPC分类号: G06V20/695 , G06T7/11 , G06T7/12 , G06T7/246 , G06V10/42 , G06V10/44 , G06V10/77 , G06V20/698 , G06T2207/10056 , G06T2207/20081
摘要: This application discloses a microscopic image processing method performed by a computer device. The method includes: extracting an instance image of a target object from a microscopic image; obtaining skeleton form information of the target object from the instance image, the skeleton form information representing a skeleton form of the target object; performing motion analysis on the target object based on the skeleton form information to obtain a plurality of eigenvalues; and determining an eigenvalue sequence comprising the plurality of eigenvalues as motion component information of the target object.
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公开(公告)号:US20240221345A1
公开(公告)日:2024-07-04
申请号:US18533199
申请日:2023-12-08
发明人: Kan Wang , Jiaxin Pang , Huan Tan
IPC分类号: G06V10/42 , G06V10/77 , G06V10/774 , G06V10/82 , G06V40/10
CPC分类号: G06V10/42 , G06V10/7715 , G06V10/774 , G06V10/82 , G06V40/10
摘要: A method for pedestrian body part feature extraction is provided, including: performing global feature extraction on a target pedestrian image to obtain a global feature map; learning each of body parts in the global feature map using a self-produced supervision signals-based self-regulated channel attention model to output first channel attention vectors each describing a respective one of the body parts; weighting the first channel attention vectors with the global feature map to obtain a weighted feature map describing the body parts; and extracting body part features of the target pedestrian image from the weighted feature map.
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公开(公告)号:US20240212335A1
公开(公告)日:2024-06-27
申请号:US18557233
申请日:2021-10-14
申请人: Exo Imaging, Inc.
发明人: Xuebin QIN, I , Masood DEHGHAN , Dornoosh ZONOOBI
摘要: There is provided a method of image processing based on a convolutional neural network (CNN). The method includes: receiving an input image; performing a plurality of feature extraction operations using a plurality of convolution layers, respectively, of the CNN based on the input image to produce a plurality of output feature maps, respectively; and producing an output image for the input image based on the plurality of output feature maps of the plurality of convolution layers. In particular, for each of the plurality of feature extraction operations, performing the feature extraction operation using the convolution layer includes: producing the output feature map of the convolution layer based on an input feature map received by the convolution layer and a plurality of weighted coordinate maps; producing the plurality of weighted coordinate maps based on a plurality of coordinate maps and a spatial attention map; and producing the spatial attention map based on the input feature map received by the convolution layer for modifying coordinate information in each of the plurality of coordinate maps to produce the plurality of weighted coordinate maps. There is also provided a corresponding system for image processing based on a CNN.
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公开(公告)号:US12008837B2
公开(公告)日:2024-06-11
申请号:US18296631
申请日:2023-04-06
发明人: Seon Min Rhee , Kyuhong Kim , Hana Lee , Changkyu Choi
CPC分类号: G06V40/1335 , G06F18/22 , G06F18/29 , G06V10/431 , G06V10/75 , G06V10/761 , G06V10/84 , G06V40/1347 , G06V40/1365
摘要: A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.
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公开(公告)号:US20240187559A1
公开(公告)日:2024-06-06
申请号:US18524153
申请日:2023-11-30
发明人: Weiming LI , Inwoo HA , Qiang WANG , Young Hun SUNG , Hao WANG
CPC分类号: H04N9/73 , G06T5/50 , G06T7/11 , G06T7/90 , G06T9/00 , G06V10/42 , G06V10/60 , G06T2207/20208 , G06T2207/20221
摘要: A processor-implemented method includes obtaining an input image, predicting light source color information of a scene corresponding to the input image and a panoramic image corresponding to the input image using an image processing model, and generating a rendered image by rendering the input image based on either one or both of the light source color information and the panoramic image.
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公开(公告)号:US11967159B2
公开(公告)日:2024-04-23
申请号:US17695667
申请日:2022-03-15
申请人: Motional AD LLC
CPC分类号: G06V20/588 , G06V10/12 , G06V10/225 , G06V10/267 , G06V10/421 , G06V2201/07
摘要: A method for semantic annotation of sensor data may include obtaining sensor data representing an image of a geographic area. The boundary points defining a first polygon in the image of the geographic area may be determined based on the sensor data. An overlap between the first polygon and a second polygon in the image of the geographic area may be detected based at least on the boundary points defining the first polygon. At least one of the first polygon or the second polygon may be modified to remove the overlap between the first polygon and the second polygon. An annotation corresponding to the first polygon may be generated based on the modifying of at least one of the first polygon or the second polygon. The annotation may identify a physical feature within the geographic area. Related systems and computer program products are also provided.
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