Automatic photomask defect classification method
Published in Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE • Jul 24, 1996
NobleIDNI5P11W68R70S21
Authors:,,
Kyoji Yamashita
Kazuto Matsuki
Kiminobu Akeno
Abstract
This paper describes a new image-processing algorithm for classifying photomask defects as pindots or contamination as a step toward automated inspection equipment for the one-micron generation. To detect contamination on quartz, our method extracts the gradient of the transmitted image within the d...
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