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Apparatus and method of defect inspection using structure prediction based on deep learning

机译:基于深度学习的结构预测缺陷检测的装置和方法

摘要

generating a plurality of masking images by masking a plurality of regions of an original image, respectively, inputting each of the masking images to a structure inference unit to obtain a plurality of output images inferred from the plurality of masking images; and extracting masked regions from each of the output images to generate the respective output images, combining a plurality of the extracted regions with each other to generate one inferred image, and the inferred image and the original image Discloses a defect inspection method comprising the step of determining whether a defect exists in the original image based on a difference between the two.
机译:通过掩蔽原始图像的多个区域,将每个屏蔽图像输入到结构推理单元以获得从多个掩蔽图像推断的多个输出图像来生成多个掩蔽图像。 并从每个输出图像中提取掩蔽区域以生成相应的输出图像,将多个提取的区域彼此组合以生成一个推断图像,并且推断图像和原始图像公开了包括步骤的缺陷检查方法 基于两者之间的差异确定原始图像中是否存在缺陷。

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