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61. 发明申请

US20230117237A1 CONTOUR EXTRACTION METHOD FROM INSPECTION IMAGE IN MULTIPLE CHARGED-PARTICLE BEAM INSPECTION 有权
公开(公告)号：US20230117237A1
公开(公告)日：2023-04-20
申请号：US17799576
申请日：2021-01-27
申请人： ASML Netherlands B.V.
发明人： Lingling PU , Wei FANG
IPC分类号： G06T5/00 , G06V10/44 , G06V10/26 , G06T5/50 , G06T7/00
摘要： An improved apparatus and method for extracting pattern contour information from an inspection image in a multiple charged-particle beam inspection system are disclosed. An improved method for extracting pattern contour information from an inspection image comprises identifying, from an inspection image obtained from a charged-particle beam inspection system, a first pattern and a second pattern that partially overlap in the inspection image. The method also comprises generating a first separation image by removing an image area corresponding to the second pattern from the inspection image. The first separation image includes the first pattern of which a first part is removed when removing the image area corresponding to the second pattern. The method also comprises updating the first separation image to include image data representing the removed first part of the first pattern based on a first reference image corresponding to the first pattern.

62. 发明授权

US11631489B2 Cranial CT-based grading method and system 有权
公开(公告)号：US11631489B2
公开(公告)日：2023-04-18
申请号：US15734514
申请日：2019-11-14
申请人： Union Strong (Beijing) Technology Co. Ltd.
发明人： Guangming Yang , Hailan Jin , Ling Song , Yin Yin , Yangyang Yao , Lan Qin
IPC分类号： G06K9/00 , G16H30/40 , G16H50/30 , G16H50/20 , G06T7/00 , G06V10/25 , G06V10/75
摘要： Disclosed are a cranial CT-based grading method and a corresponding system, which relate to the field of medical imaging. The cranial CT-based grading method as disclosed solves the problems of relatively great subjective disparities and poor operability in eye-balling ASPECTS assessment. The grading method includes: extracting target areas from to-be-processed multi-frame cranial CT data; performing infarct judgment on each target area included in the target areas to output an infarct judgment outcome regarding the target area; and outputting a grading outcome based on infarct judgment outcomes regarding all target areas. The grading method and system as disclosed may eliminate or mitigate the diagnosis disparities caused by human factors and imaging deviations due to different imaging equipment, and shorten the time taken by human observation, consideration, and bared-eye grading, thereby serving as a computer-aided method to provide reference for medical studies on stroke.

63. 发明授权

US11631288B2 Maintenance prediction system for a vehicle 有权
公开(公告)号：US11631288B2
公开(公告)日：2023-04-18
申请号：US16788959
申请日：2020-02-12
申请人： The Boeing Company
发明人： Omid B Nakhjavani
IPC分类号： B64F5/60 , G07C5/08 , B64F5/40 , G06T19/00 , G06N20/00 , G06T7/00 , B64D45/00
摘要： A maintenance prediction system for generating one or more recommended actions for an individual to perform upon a vehicle is disclosed, and includes a camera configured to capture image data of one or more components of interest and image data of one or more body size parameters of the individual. The maintenance prediction system also includes one or more assembly databases storing three-dimensional model data representing components of the vehicle, one or more processors in electronic communication with the camera and the one or more assembly databases, and a memory coupled to the one or more processors. The maintenance prediction system generates one or more notifications indicating the recommended actions for the individual to perform upon the vehicle.

64. 发明授权

US11631274B2 Fingerprint processing device, fingerprint processing method, program, and fingerprint processing circuit 有权
公开(公告)号：US11631274B2
公开(公告)日：2023-04-18
申请号：US17162116
申请日：2021-01-29
申请人： NEC CORPORATION
发明人： Akira Hirokawa
IPC分类号： G06V40/12 , A61B5/1172 , G06T7/00
摘要： A fingerprint processing device includes a match processing unit configured to determine, based on a first degree, a plurality of feature points having a large value of the first degree among the feature points of a fingerprint specified in a fingerprint image of a matching source, the first degree representing a first distance to other feature points, as representative feature points used in match processing of the fingerprint.

65. 发明授权

US11631246B2 Method for outputting a signal from an event-based sensor, and event-based sensor using such method 有权
公开(公告)号：US11631246B2
公开(公告)日：2023-04-18
申请号：US16957874
申请日：2018-12-26
申请人： PROPHESEE
发明人： Stephane Laveau , Xavier Lagorce
IPC分类号： G06V20/30 , G06V20/13 , G06V20/20 , G06T7/00
摘要： An event-based sensor having a sensing part that produces events asynchronously. The output signal includes information relating to at least some of the produced events. The method comprises: estimating a rate of production of events by the sensing part; while the estimated rate is less than a threshold, transmitting the signal having a variable rate; and when the estimated rate is above the threshold, transmitting the signal including information relating to only some of the produced events, such that a rate of events for which information is included in the signal remains within the threshold.

66. 发明授权

US11631235B2 System and method for occlusion correction 有权
公开(公告)号：US11631235B2
公开(公告)日：2023-04-18
申请号：US17870279
申请日：2022-07-21
申请人： Cape Analytics, Inc.
发明人： Giacomo Vianello , Peter Lorenzen
IPC分类号： G06T7/00 , G06V10/26 , G06T7/60 , G06Q30/02 , G06T7/11
摘要： In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.

67. 发明授权

US11631173B2 Pattern recognition by convolutional neural networks 有权
公开(公告)号：US11631173B2
公开(公告)日：2023-04-18
申请号：US16970367
申请日：2018-05-22
申请人： Abhishek Biswas , Samudra Neel Saha , Kaustav Banerjee
发明人： Abhishek Biswas , Samudra Neel Saha , Kaustav Banerjee
IPC分类号： G06T7/00 , G06F17/18 , G06N3/04 , G06N3/08 , G06V10/25
摘要： A method for training a convolutional neural network comprises sliding a first, a second and a third window in a predefined path simultaneously on each training image of a training data set, a binary image containing a highlighted region of interest of the each training image, and a labeled image containing a plurality of tags representing one or more features of interest of the each training image. A target matrix is obtained for each sample of the labeled image that lies within the highlighted region of interest. The target matrix is a probabilistic distribution of the plurality of tags that is based on a proportion of existence of a feature of interest represented by a tag in the each sample. The CNN is trained to recognize each sample to contain the proportion of the at least one feature of interest based on the target matrix of the each sample.

68. 发明授权

US11631167B2 Grain gloss measurement apparatus 有权
公开(公告)号：US11631167B2
公开(公告)日：2023-04-18
申请号：US17057139
申请日：2019-03-29
申请人： SATAKE CORPORATION
发明人： Hisashi Sakamoto , Koshiro Kajiyama
IPC分类号： G06T7/00 , G01N21/57 , G06V10/56 , G06V10/143
摘要： Provided is a grain gloss measurement apparatus capable of accurately measuring gloss of grain. A grain gloss measurement apparatus includes a light source to emit light to a measurement region for grain in an oblique direction, a light receiver to receive the light reflected from the measurement region, and a gloss value calculation device to calculate a gloss value of the grain based on the reflected light received by the light receiver. The light source includes a first light source to emit light to the measurement region from one side and a second light source to emit light from another side that is opposite to the first light source across the measurement region. The light emitted from the first light source and the light emitted from the second light source have different wavelengths. The light receiver is disposed on the same side as the second light source, and the gloss value calculation device includes an image processing unit to identify a grain zone in the measurement region based on the light of the second light source that is reflected off the grain and received by the light receiver.

69. 发明授权

US11631165B2 Repair estimation based on images 有权
公开(公告)号：US11631165B2
公开(公告)日：2023-04-18
申请号：US16779105
申请日：2020-01-31
申请人： Sachcontrol GmbH
发明人： Andrey Lutich , Lars Rietzschel
IPC分类号： G06K9/62 , G06F16/583 , G06T7/00 , G06Q10/20 , G06V20/00
摘要： In one embodiment, a method includes accessing an image of a damaged object. The method further includes determining, using a plurality of image segmentation models, a plurality of objects in the image. The method further includes determining, using a plurality of visual inference models and the determined plurality of objects from the image segmentation models, a repair-relevant property vector for the damaged object in the image. The repair-relevant property vector includes a plurality of damaged object properties. The method further includes generating a repair report using the repair-relevant property vector and a price catalogue. The repair report includes an indication of the damaged object and a price associated with the repair or replacement of the damaged object. The method further includes providing the generated report for display on an electronic display device.

70. 发明授权

US11631160B2 Image processing apparatus, image processing method, and X-ray CT apparatus 有权
公开(公告)号：US11631160B2
公开(公告)日：2023-04-18
申请号：US16897768
申请日：2020-06-10
申请人： Hitachi, Ltd.
发明人： Mariko Yamamoto , Keisuke Yamakawa , Isao Takahashi , Taiga Gotou , Hisashi Takahashi
IPC分类号： G06T5/00 , G06T7/00
摘要： Noise is reduced for a medical image for which noise cannot be quantified by a general-purpose image quality evaluation index. An image processor has a preprocessor that generates input images including an original image and one or more images with reduced noise compared with the original image; and a noise reduction processor outputs an image, which is obtained by reducing noise from the original image based on the input images, by applying a learned network. The learned network used in the noise reduction processor is constructed by performing deep learning using a plurality of learning sets in which one or more of a medical image including noise, a noise-reduced image obtained by performing noise reduction processing on the medical image, and an intermediate image obtained during the noise reduction processing are input images and a correct image is obtained based on the input images an output image.

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