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System and method for conducting adaptive fourier filtering to detect defects in dense logic areas of an inspection surface

机译:进行自适应傅里叶滤波以检测检查表面的密集逻辑区域中的缺陷的系统和方法

摘要

A dark field surface inspection tool and system are disclosed herein. The tool includes an illumination source capable of scanning a light beam onto an inspection surface. Light scattered by each inspection point is captured as image data by a photo detector array arranged at a fourier plane. The images captured are adaptively filtered to remove a portion of the bright pixels from the images to generate filtered images. The filtered images are then analyzed to detect defects in the inspection surface. Methods of the invention include using die-to-die comparison to identify bright portions of scattering patterns and generate unique image filters associated with those patterns. The associated images are then filtered to generate filtered images which are then used to detect defects. Also, data models of light scattering behavior can be used to generate filters.
机译:本文公开了一种暗视场表面检查工具和系统。该工具包括能够将光束扫描到检查表面上的照明源。由每个检查点散射的光被布置在傅立叶平面上的光电检测器阵列捕获为图像数据。捕获的图像被自适应地滤波以从图像中去除一部分亮像素以生成滤波后的图像。然后分析滤波后的图像以检测检查表面中的缺陷。本发明的方法包括使用管芯到管芯的比较来识别散射图案的明亮部分并产生与那些图案相关的独特图像滤波器。然后对相关图像进行过滤以生成过滤后的图像,然后将其用于检测缺陷。同样,光散射行为的数据模型可用于生成过滤器。

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