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公开(公告)号：US20220277450A1
公开(公告)日：2022-09-01
申请号：US17352291
申请日：2021-06-19
Applicant: CAPSOVISION, Inc.
Inventor： Kang-Huai Wang , Chenyu Wu , Gordon C. Wilson
Abstract: A method and apparatus of objective assessment of images captured from a human gastrointestinal (GI) tract are disclosed. According to this method, one or more images captured using an endoscope when the endoscope is inside the human gastrointestinal (GI) tract are received. Whether there is any specific target object is checked. When one or more specific target objects in the images are detected: areas of the specific target objects in the images are determined; an objective assessment score is derived based on the areas of the specific target objects in a substantial number of images from the images; where the step of detecting the specific target objects is performed using an artificial intelligence process.
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公开(公告)号：US11219358B2
公开(公告)日：2022-01-11
申请号：US17177167
申请日：2021-02-16
Applicant: CAPSOVISION, Inc.
Inventor： Kang-Huai Wang , Chenyu Wu , Mark Hadley , Gordon C. Wilson
Abstract: A method of processing images captured using an endoscope comprising a camera is disclosed. According to this method, regular images captured by the camera are received while the endoscope travels through a human gastrointestinal (GI) tract. The regular images are mosaicked to determine any missed or insufficiently imaged area in a section of the human GI tract already travelled by the endoscope. If any missed or insufficiently imaged area is detected, information regarding any missed or insufficiently imaged area is provided. When a target area in the regular images is lack of parallax, the target area is determined as one missed area and an edge corresponding to a structure of the human lumen is highlighted. For a capsule endoscope, the endoscope can be configured to be controlled or steered to move so as to re-image the missed or insufficiently imaged area.
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公开(公告)号：US10943342B2
公开(公告)日：2021-03-09
申请号：US16462215
申请日：2016-11-30
Applicant: CapsoVision, Inc.
Inventor： Kang-Huai Wang , Yi Xu , Chenyu Wu
Abstract: A method and apparatus of processing images captured from human gastrointestinal (GI) tract by a capsule camera are disclosed. High frame-rate images captured from human gastrointestinal (GI) tract by a capsule camera are received for processing. The high frame-rate images comprise first images at a first spatial resolution corresponding to a regular frame rate and second images at a second spatial resolution, the first images and the second images are interleaved, and the second spatial resolution is lower than the first spatial resolution. Motion models among the high frame-rate images are derived by applying image registration to the high frame-rate images. The high frame-rate images are stitched according to the motion models to generate stitching outputs comprising stitched images and non-stitched images. The stitching outputs are provided.
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公开(公告)号：US10484629B2
公开(公告)日：2019-11-19
申请号：US15333071
申请日：2016-10-24
Applicant: CapsoVision, Inc
Inventor： Kang-Huai Wang , Yi Xu , Gordon C. Wilson , Chenyu Wu
Abstract: A method and device for improving the accuracy of depth information derived from a structured-light image for a regular image are disclosed. In one example, an additional structured-light image is captured before a first structured-light image or after a regular image. The depth information for the regular image can be derived from the first structured-light image and corrected by incorporating depth information from the additional structured-light image. A model for depth information can be used to predict or interpolate depth information for the regular image. In another example, two regular sub-images may be captured with a structured-light image in between. If substantial frame differences or substantial global motion vector/block motion vectors are detected, the two regular sub-images will not be combined in order to avoid possible motion smear. Instead, one of the two sub-images will be selected and scaled as the output regular image.
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5.发明授权公开(公告)号：US10346978B2
公开(公告)日：2019-07-09
申请号：US15669853
申请日：2017-08-04
Applicant: CAPSOVISION, INC.
Inventor： Kang-Huai Wang , Mark Hadley , Chenyu Wu
IPC: G06T7/00
Abstract: A method and apparatus for estimating or measuring a physical area or physical volume of an object of interest in one or more images captured using an endoscope are disclosed. According to the present method, an object of interest in an image or images is determined. Also, distance information associated with the object of interest with respect to an image sensor of the endoscope is received. The physical area size or physical volume size of the object of interest is then determined based on the image or images, and the distance information.
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Patent Agency Ranking
公开(公告)号：US11948303B2
公开(公告)日：2024-04-02
申请号：US17352291
申请日：2021-06-19
Applicant: CAPSOVISION, Inc.
Inventor： Kang-Huai Wang , Chenyu Wu , Gordon C. Wilson
CPC classification number: G06T7/0014 , A61B1/041 , G06N3/04 , G06T3/40 , G06T5/50 , G06T7/55 , G06T7/62 , G06T2207/10068 , G06T2207/20084 , G06T2207/20212 , G06T2207/30092
Abstract: A method and apparatus of objective assessment of images captured from a human gastrointestinal (GI) tract are disclosed. According to this method, one or more images captured using an endoscope when the endoscope is inside the human gastrointestinal (GI) tract are received. Whether there is any specific target object is checked. When one or more specific target objects in the images are detected: areas of the specific target objects in the images are determined; an objective assessment score is derived based on the areas of the specific target objects in a substantial number of images from the images; where the step of detecting the specific target objects is performed using an artificial intelligence process.
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7.发明授权公开(公告)号：US11120547B2
公开(公告)日：2021-09-14
申请号：US16393894
申请日：2019-04-24
Applicant: CapsoVision, Inc.
Inventor： Kang-Huai Wang , Chenyu Wu
Abstract: A method and apparatus of image stitching using confidence level of image matching on image pair to be stitched are disclosed. According to the present invention, the first quality of image matching is determined for a current image based on feature matching on first image pairs corresponding to the current image and a neighboring image set. If the first quality of image matching for at least one first image pair satisfies a first quality criterion, then the second quality of image matching is determined based on pixel-domain matching for one or more candidate image pairs, where each candidate image pair has a corresponding first quality of image matching satisfying the first quality criterion. If the second quality of image matching for a candidate image pair satisfies a second quality criterion, then the matched image pair is stitched.
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公开(公告)号：US10736559B2
公开(公告)日：2020-08-11
申请号：US16544110
申请日：2019-08-19
Applicant: CapsoVision, Inc.
Inventor： Kang-Huai Wang , Mark Hadley , Chenyu Wu
Abstract: A method and apparatus for estimating or measuring a physical area or physical volume of an object of interest in one or more images captured using an endoscope are disclosed. According to the present method, one or more structured-light images and one or more regular images captured using an imaging apparatus are received. An object of interest in the regular images is determined. Distance information associated with the object of interest with respect to the imaging apparatus is derived from the structured-light images. The physical area size or physical volume size of the object of interest is determined based on the regular images and the distance information. The imaging apparatus can be a capsule endoscope or an insertion endoscope.
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9.发明申请公开(公告)号：US20190043188A1
公开(公告)日：2019-02-07
申请号：US15669853
申请日：2017-08-04
Applicant: CAPSOVISION, INC.
Inventor： Kang-Huai Wang , Mark Hadley , Chenyu Wu
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T7/521 , G06T7/62 , G06T2207/10016 , G06T2207/10068 , G06T2207/20104 , G06T2207/30092 , G06T2207/30096
Abstract: A method and apparatus for estimating or measuring a physical area or physical volume of an object of interest in one or more images captured using an endoscope are disclosed. According to the present method, an object of interest in an image or images is determined. Also, distance information associated with the object of interest with respect to an image sensor of the endoscope is received. The physical area size or physical volume size of the object of interest is then determined based on the image or images, and the distance information.
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公开(公告)号：US20180160061A1
公开(公告)日：2018-06-07
申请号：US15871991
申请日：2018-01-16
Applicant: CAPSOVISION, Inc.
Inventor： Kang-Huai Wang , Yi Xu , Gordon C. Wilson , Chenyu Wu
CPC classification number: H04N5/35581 , A61B1/00009 , A61B1/041 , A61B1/06 , G01B11/2513 , G02B23/2415 , G02B23/2484 , H04N5/3535 , H04N5/3537 , H04N5/35572 , H04N5/3559 , H04N5/378 , H04N9/045 , H04N13/271 , H04N13/286 , H04N13/296 , H04N2005/2255
Abstract: An integrated image sensor for capturing a mixed structured-light image and regular image using an integrated image sensor are disclosed. The integrated image sensor comprises a pixel array, one or more output circuits, one or more analog-to-digital converters, and one or more timing and control circuits. The timing and control circuits are arranged to perform a set of actions including capturing a regular image and a structured-light image. According to the present invention, the structured-light image captured before or after the regular image is used to derive depth or shape information for the regular image. An endoscope based on the above integrated image sensor is also disclosed. The endoscope may comprises a capsule housing adapted to be swallowed, where the components of integrated image sensor, a structured light source and a non-structured light source are enclosed and sealed in the capsule housing.
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