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公开(公告)号:US12236565B2
公开(公告)日:2025-02-25
申请号:US17476321
申请日:2021-09-15
Applicant: BOE Technology Group Co., Ltd.
Inventor: Quanguo Zhou , Kaiqin Xu , Jiahong Zou , Guolin Zhang , Xun Huang , Qing Zhang , Zhidong Wang , Lijia Zhou , Hongxiang Shen , Jiuyang Cheng , Hao Tang
Abstract: A method for classifying an image of a displaying base plate includes: acquiring an image to be checked; from a first predetermined-type set, determining a type of the image to be checked. The first predetermined-type set includes: a first image type, a second image type and a third image type. An image of the first image type is a no-defect image, an image of the second image type is a blurred image, and an image of the third image type is a defect image. When the type of the image to be checked is the third image type, by using a first convolutional neural network, determining a defect data of the image to be checked, wherein the defect image refers to an image of a displaying base plate having a defect, and the defect data contains a defect type of the displaying base plate in the image to be checked.
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公开(公告)号:US11914675B2
公开(公告)日:2024-02-27
申请号:US17507918
申请日:2021-10-22
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Guolin Zhang , Kaiqin Xu , Jiahong Zou , Quanguo Zhou , Xun Huang , Hongxiang Shen , Jiuyang Cheng
CPC classification number: G06F18/22 , G06V10/40 , G06V10/761
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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