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公开(公告)号:US10902582B2
公开(公告)日:2021-01-26
申请号:US16250980
申请日:2019-01-17
Applicant: Applied Materials Israel, Ltd.
Inventor: Haim Feldman , Eyal Neistein , Harel Ilan , Shahar Arad , Ido Almog
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.
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公开(公告)号:US11815470B2
公开(公告)日:2023-11-14
申请号:US17010746
申请日:2020-09-02
Applicant: Applied Materials Israel, Ltd.
Inventor: Haim Feldman , Eyal Neistein , Harel Ilan , Shahar Arad , Ido Almog , Ori Golani
CPC classification number: G01N21/9505 , G06T7/001 , G06T7/0008 , G06T2207/30148
Abstract: Disclosed herein is a method for detecting defects on a sample. The method includes obtaining scan data of a region of a sample in a multiplicity of perspectives, and performing an integrated analysis of the obtained scan data. The integrated analysis includes computing, based on the obtained scan data, and/or estimating cross-perspective covariances, and determining presence of defects in the region, taking into account the cross-perspective covariances.
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公开(公告)号:US10957034B2
公开(公告)日:2021-03-23
申请号:US16250832
申请日:2019-01-17
Applicant: APPLIED MATERIALS ISRAEL LTD.
Inventor: Elad Cohen , Shahar Arad
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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