公开(公告)号：US11637971B2

公开(公告)日：2023-04-25

申请号：US17401895

申请日：2021-08-13

申请人： GoPro, Inc.

发明人： Balineedu Chowdary Adsumilli ,  Ryan Lustig

IPC分类号： H04N5/272 ,  G06T15/50 ,  H04N13/128 ,  G06T11/60 ,  G06T7/11 ,  G06T7/143 ,  G06T7/194 ,  G06T7/174 ,  G06T7/254 ,  G06T5/00 ,  G06T7/20 ,  H04N5/235 ,  H04N13/00

摘要： A processing device generates composite images from a sequence of images. The composite images may be used as frames of video. A foreground/background segmentation is performed at selected frames to extract a plurality of foreground object images depicting a foreground object at different locations as it moves across a scene. The foreground object images are stored to a foreground object list. The foreground object images in the foreground object list are overlaid onto subsequent video frames that follow the respective frames from which they were extracted, thereby generating a composite video.

公开(公告)号：US11636177B2

公开(公告)日：2023-04-25

申请号：US17101241

申请日：2020-11-23

申请人： Konan Technology Inc.

发明人： Hyunsu Kang ,  Euncheol Kang

IPC分类号： G06V10/774 ,  G06F18/214 ,  G06T7/11 ,  G06T7/90 ,  G06T7/174 ,  G06V20/40 ,  G06F18/24

摘要： Disclosed are an object detection dataset construction method using image entropy and a data processing device performing the same. The data processing device includes an input unit configured to receive multiple images, a control unit configured to choose processing priorities of the received multiple images using image entropy and construct an object detection dataset from a corresponding image according to the chosen processing priorities, and a storage unit configured to store the constructed object detection dataset.

公开(公告)号：US11620613B2

公开(公告)日：2023-04-04

申请号：US17170004

申请日：2021-02-08

申请人： eMeasurematics Inc.

发明人： Mudrad Guhya

IPC分类号： G06Q10/08 ,  G06T7/62 ,  G06T7/70 ,  G05D1/10 ,  G06Q10/087 ,  G06T7/174 ,  G06Q10/0631 ,  B64C39/02 ,  G01W1/02 ,  G05D1/00 ,  G06T7/00 ,  H04N23/90 ,  B64F1/36 ,  B64U101/30

摘要： Drone-based inventory management method and systems. One embodiment provides a drone-based inventory management system including one or more unmanned aerial vehicles (UAVs), and a central management system having an electronic processor, and a transceiver configured to communicate with the one or more UAVs. The electronic processor is configured to determine a discrepancy in inventory and select a UAV for verification. The electronic processor is also configured to determine whether weather permits UAV operation and operate the UAV in a pre-determined route when the weather permits UAV operation. The electronic processor is further configured to capture images using the UAV and determine new inventory based on captured images. The electronic processor is also configured to update inventory based on the new inventory.

公开(公告)号：US11615615B2

公开(公告)日：2023-03-28

申请号：US17153967

申请日：2021-01-21

申请人： SOUTHEAST UNIVERSITY

发明人： Zhe Li ,  Yukun He ,  Yuning Cheng ,  Xiang Zhou ,  Kaiyu Zhao ,  Xiao Han ,  Feifei Chen ,  Shuang Song ,  Xinyi Lu ,  Xiaoshan Lin

IPC分类号： G06V20/10 ,  G06T7/174

摘要： The present invention discloses a method and an apparatus for extracting mountain landscape buildings based on high-resolution remote sensing images. The method comprises: segmenting a remote sensing image, and extracting non-vegetation areas from the remote sensing image by using NDVI; segmenting the non-vegetation areas, and extracting building areas by using NDBI; segmenting the building areas again, and calculating a normalized difference build shadow index NSBI of each patch; calculating NSBI separator of each patch in the non-vegetation areas and setting a separator threshold, and extracting landscape building areas based on the threshold. In the present invention, by introducing a near infrared band in the remote sensing image spectrum, in which there is a significant difference between shadows and non-shadows, the influence of large shadow areas in mountainous shady areas in the remote sensing image on the result of extraction is reduced.

公开(公告)号：US11614610B2

公开(公告)日：2023-03-28

申请号：US17148192

申请日：2021-01-13

申请人： ALLEN INSTITUTE

发明人： Gregory Johnson ,  Chawin Ounkomol ,  Forrest Collman ,  Sharmishtaa Seshamani

IPC分类号： G02B21/00 ,  G06T7/187 ,  G06T7/11 ,  G06T7/174 ,  G06N20/20 ,  G06N3/04 ,  G06N3/08

摘要： A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

公开(公告)号：US11610340B2

公开(公告)日：2023-03-21

申请号：US17077488

申请日：2020-10-22

申请人： TENCENT AMERICA LLC

发明人： Yixin Du ,  Xin Zhao ,  Shan Liu

IPC分类号： G06T9/00 ,  G06T7/13 ,  G06T7/174

摘要： A method, computer program, and computer system is provided for coding video data. Video data is received, and an edge present within a sample of the received video data is detected. A gradient value corresponding to a direction associated with the detected edge is calculated. The video data is decoded based on the calculated gradient.

公开(公告)号：US11610315B2

公开(公告)日：2023-03-21

申请号：US17384387

申请日：2021-07-23

申请人： TENCENT AMERICA LLC

发明人： Hui Tang ,  Lianyi Han ,  Min Tu ,  Kun Wang ,  Chao Huang ,  Zhen Qian ,  Wei Fan

IPC分类号： G06T7/11 ,  G06T7/00 ,  G06T7/174 ,  G06T15/08

摘要： A method and device for generating a three dimensional (3D) bounding box of a region of interest (ROI) of a patient include receiving a two dimensional (2D) maximum intensity projection (MIP) image that is an axial view of the patient and a 2D MIP image that is a sagittal view of the patient. A first 2D bounding box of the ROI of the patient and a second 2D bounding box of the ROI of the patient are detected using the 2D MIP images. A 3D MIP image of the patient is received, and the 3D bounding box of the ROI of the patient is generated using the 3D MIP image, the first 2D bounding box, and the second 2D bounding box. The 3D MIP image including the 3D bounding box is provided.

公开(公告)号：US20230070200A1

公开(公告)日：2023-03-09

申请号：US18048527

申请日：2022-10-21

申请人： BEIJING HUACO HEALTHCARE TECHNOLOGIES CO., LTD.

发明人： Zhifeng Zhou ,  Huiling Zou

IPC分类号： G06T7/168 ,  G06T7/174 ,  G06T7/12 ,  A61B8/12 ,  A61B8/00

摘要： Disclosed is a Gabor wavelet-fused multi-scale local level set ultrasonic image segmentation method. In the method, non-uniformity of the grayscale of an ultrasonic image is taken as a texture having cluttered directions, the multi-directional property of Gabor wavelets is used to process the image, and intermediate images in different filtering directions are fused by taking maximum values, so as to obtain an intermediate image having a weakened texture effect and an enhanced difference between a foreground and a background. For the feature of a weak edge of an ultrasonic image, a concept of multi-scale is used to improve the conventional LIC method, Gaussian convolution kernels having different variances are set, and a final edge is obtained by means of average fusion.

公开(公告)号：US20230059426A1

公开(公告)日：2023-02-23

申请号：US17819462

申请日：2022-08-12

申请人： CANON MEDICAL SYSTEMS CORPORATION

发明人： Ye LIU ,  Zhe HUANG

IPC分类号： G06T7/73 ,  G06T7/11 ,  G06T7/174

摘要： An image segmentation apparatus for magnetic resonance imaging according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a localizer image of an organ, the localizer image being three-dimensional or being in a plurality of layers and two-dimensional. The processing circuitry is configured to temporarily localize, on a basis of the localizer image, a segment in which the organ is present in terms of the layer direction of a plurality of slices included in the localizer image. The processing circuitry is configured to obtain a segmentation result of the organ, by performing an image segmentation process on the localizer image positioned inside the segment in which the organ is present.

公开(公告)号：US20230051951A1

公开(公告)日：2023-02-16

申请号：US17973677

申请日：2022-10-26

申请人： Tencent Technology (Shenzhen) Company Limited

发明人： Liang WANG ,  Jianhua Yao

IPC分类号： G06T7/11 ,  G06T7/174 ,  G06T7/155 ,  G06T7/136 ,  G06T7/90 ,  G06T7/00

摘要： This disclosure relates to a model training method and apparatus and an image processing method and apparatus. The model training method includes: obtaining a first sample image and a first standard region proportion corresponding to a first object in the first sample image; obtaining a standard region segmentation result corresponding to the first sample image based on the first standard region proportion; and training a first initial segmentation model based on the first sample image and the standard region segmentation result, to obtain a first target segmentation model.