Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of surface defect inspection algorithms for cold mill strip

냉연 표면흠 검사 알고리듬 개발에 관한 연구

  • 김경민 (고려대학교 정보통신기술공동연구소) ;
  • 박귀태 (고려대학교 전기공학과, 서울대 ERC-ACI연구) ;
  • 박중조 (경상대학교 제어계측공학과) ;
  • 이종학 (POSCO 기술연구소 SYSTEM 연구부 TEAM) ;
  • 정진양 (POSCO 기술연구소 SYSTEM 연구부 TEAM) ;
  • 이주강 (POSCO 기술연구소 SYSTEM 연구부 TEAM)
  • Published : 1997.04.01
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Abstract

In this paper we suggest a development of surface defect inspection algorithms for cold mill strip. 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 and co-occurrence matrix features are calculated. For the defect classification, multilayer neural network is used. The proposed algorithm showed 15% error rate.

Keywords

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