METHOD AND APPARATUS FOR ACQUIRING IMAGES, AND STORAGE MEDIUM THEREOF

    公开(公告)号:US20240169511A1

    公开(公告)日:2024-05-23

    申请号:US17771764

    申请日:2021-05-25

    Inventor: Guolin ZHANG

    CPC classification number: G06T7/001 G06T7/73

    Abstract: Provided are a method and apparatus for acquiring images, and a storage medium thereof. The method includes: acquiring a first image embodying a display panel; determining repair indication information of a plurality of defects in the display panel in the first image, wherein the repair indication information indicates a degree of a repair demand for the defects; selecting a target defect from the plurality of defects based on the repair indication information of the plurality of defects; and acquiring a repair reference image embodying the target defect by photographing the target defect in the display panel. A repair reference image embodying all defects in the display panel does not need to be acquired, thereby ensuring high detection efficiency of the AOI system for the display panel. In addition, a probability that the target defect selected based on the repair indication information needs to be repaired is high, which effectively improves accuracy of AOI system in acquiring the repair reference image and achieves a high yield of the display panels.

    IMAGE PROCESSING METHOD, APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220269901A1

    公开(公告)日:2022-08-25

    申请号:US17507918

    申请日:2021-10-22

    Abstract: An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

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