DocumentCode :
2556706
Title :
An Automatic Method for Extracting and Classifying Defect in Optical Photomask Images
Author :
Ha, Youngmin ; Jeong, Hong
Author_Institution :
POSTECH, Pohang
fYear :
2007
fDate :
26-28 April 2007
Firstpage :
710
Lastpage :
716
Abstract :
This paper describes the process of extracting and classifying defect in optical, photomask images. It describes photomask defect extraction which is the preprocessing of classification. In addition, it describes not only how to classify defect into false, particle on glass, and pattern defect but also how to classify pattern defect into spot, Cr extension, bridge, MoSiN bridge, pinhole, clear extension, break, and stitching. Also, how to classify a particle according to its size is presented.
Keywords :
feature extraction; image classification; masks; optical images; defect classification; optical photomask images; photomask defect extraction; Bridges; Chromium; Costs; Glass; Image segmentation; Pixel; Production; Shape; Silicon; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Ubiquitous Engineering, 2007. MUE '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7695-2777-9
Type :
conf
DOI :
10.1109/MUE.2007.66
Filename :
4197356
Link To Document :
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