DETECTION OF DEFECTS USING A COMPUTATIONALLY EFFICIENT SEGMENTATION APPROACH

    公开(公告)号:US20230206417A1

    公开(公告)日:2023-06-29

    申请号:US17565273

    申请日:2021-12-29

    CPC classification number: G06T7/0004 G06T7/10

    Abstract: There is provided a system of examination of a semiconductor specimen, comprising a processor and memory circuitry configured to obtain, for each given candidate defect of a plurality of candidate defects in an image of the specimen, a given area of the given candidate defect in the image, obtain a reference image, perform a segmentation of at least part of the reference image, to determine, for each given candidate defect, first reference areas in the reference image matching a given reference area corresponding to the given area, select among the first reference areas, a plurality of second reference areas, obtain a plurality of corresponding second areas in the image, and use data informative of a pixel intensity of the second areas and data informative of a pixel intensity of the given area to determine whether the given candidate defect corresponds to a defect.

    IDENTIFICATION OF AN ARRAY IN A SEMICONDUCTOR SPECIMEN

    公开(公告)号:US20220012861A1

    公开(公告)日:2022-01-13

    申请号:US16922977

    申请日:2020-07-07

    Abstract: There is provided a method and a system configured obtain an image of a semiconductor specimen including one or more arrays, each including repetitive structural elements, and one or more regions, each region at least partially surrounding a corresponding array and including features different from the repetitive structural elements, wherein the PMC is configured to, during run-time scanning of the semiconductor specimen, perform a correlation analysis between pixel intensity of the image and pixel intensity of a reference image informative of at least one of the repetitive structural elements, to obtain a correlation matrix, use the correlation matrix to distinguish between one or more first areas of the image corresponding to the one or more arrays and one or more second areas of the image corresponding the one or more regions, and output data informative of the one or more first areas of the image.

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