Computerized system and method for obtaining information about a region of an object

    公开(公告)号:US10902582B2

    公开(公告)日:2021-01-26

    申请号:US16250980

    申请日:2019-01-17

    Abstract: A method, system and computer readable medium for providing information about a region of a sample. The method includes (i) obtaining, by an imager, multiple images of the region; wherein the multiple images differ from each other by at least one parameter (ii) receiving or generating multiple reference images; (iii) generating multiple difference images that represent differences between the multiple images and the multiple reference images; (iv) calculating a set of region pixel attributes, (v) calculating a set of noise attributes, based on multiple sets of region pixels attributes of the multiple region pixels; and (vi) determining for each region pixel, whether the region pixel represents a defect based on a relationship between the set of noise attributes and the set of region pixel attributes of the pixel.

    Method of examination of a specimen and system thereof

    公开(公告)号:US10957034B2

    公开(公告)日:2021-03-23

    申请号:US16250832

    申请日:2019-01-17

    Abstract: There are provided a system and method of examination on a specimen, the method comprising: obtaining an inspection image of a die and generating a defect map using one or more reference images; selecting a plurality of defect candidates from the defect map; and generating for each defect candidate, a respective modified inspection image patch, comprising: extracting an image patch surrounding the defect candidate respectively from the inspection image and each reference image; and modifying the inspection image patch, comprising: estimating noise representative of intensity variations on the inspection image patch, the noise including a first type of noise representative of a polynomial relation between the inspection and reference image patches, and a second type of noise representative of a spatial anomaly in the inspection image patch, and removing at least one of the first and second types of noise from the inspection image patch based on the estimated noise.

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