제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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- Pages.365-370
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- 1997
트리 구조를 이용한 냉연 표면흠 검사 알고리듬 개발에 관한 연구
Development of surface defect inspection algorithms for cold mill strip using tree structure
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김경민
(국립여수수산대학교 전기공학과) ;
- 정우용 (고려대학교 전기전자전파공학부) ;
- 이병진 (고려대학교 전기전자전파공학부) ;
- 류경 (고려대학교 전기전자전파공학부) ;
- 박귀태 (고려대학교 전기전자전파공학부)
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Kim, Kyung-Min
;
- Jung, Woo-Yong ;
- Lee, Byung-Jin ;
- Ryu, Gyung ;
- Park, Gui-Tae
- 발행 : 1997.10.01
초록
In this paper we suggest a development of surface defect inspection algorithms for cold mill strip using tree structure. The defects which exist in a surface of cold mill strip have a scattering or singular distribution. This paper consists of preprocessing, feature extraction and defect classification. By preprocessing, the binarized defect image is achieved. In this procedure, Top-hit transform, adaptive thresholding, thinning and noise rejection are used. Especially, Top-hit transform using local min/max operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, histogram-ratio features are calculated. The histogram-ratio feature is taken from the gray-level image. For the defect classification, we suggest a tree structure of which nodes are multilayer neural network clasifiers. The proposed algorithm reduced error rate comparing to one stage structure.