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Progressive self-learning defect review and classification method

机译:渐进式自学习缺陷复习与分类方法

摘要

A progressive self-learning (PSL) method is provided for enhancing wafer or mask defect inspection review and classification by identifying a plurality of wafer or mask defects, and by classifying each of the plurality of defects according to an extent of resemblance of each defect. The method having the steps of: performing image processing on a scanned defect image; aligning the scanned defect image with a just-stored digitized defect image; matching the scanned defect image with a just-stored digitized defect image; and classifying the scanned defect image.
机译:提供了一种渐进式自学习(PSL)方法,用于通过识别多个晶片或掩模缺陷,并根据每个缺陷的相似程度对多个缺陷中的每一个进行分类,从而增强晶片或掩模缺陷检查的检查和分类。该方法具有以下步骤:对扫描的缺陷图像执行图像处理;将扫描的缺陷图像与刚刚存储的数字化缺陷图像对齐;将扫描的缺陷图像与刚存储的数字化缺陷图像进行匹配;对扫描的缺陷图像进行分类。

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