Edge detection method and device, electronic apparatus and storage medium

    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

    IPC分类号: G06T7/13 G06V10/42 G06V10/44

    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.

    METHOD AND SYSTEM FOR IMAGE PROCESSING BASED ON CONVOLUTIONAL NEURAL NETWORK

    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.

    IPC分类号: G06V10/82 G06V10/42

    CPC分类号: G06V10/82 G06V10/42

    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.

    Semantic annotation of sensor data with overlapping physical features

    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

    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.