An automatic method for extracting and classifying defect in optical photomask images

Youngmin Ha*, Hong Jeong

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007
Pages710-716
Number of pages7
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007 - Seoul, Korea, Republic of
Duration: 26 Apr 200728 Apr 2007

Publication series

NameProceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007

Conference

Conference2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007
Country/TerritoryKorea, Republic of
CitySeoul
Period26/04/0728/04/07

Fingerprint

Dive into the research topics of 'An automatic method for extracting and classifying defect in optical photomask images'. Together they form a unique fingerprint.

Cite this