대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

시각 장치를 이용한 직물 결함 검사에 관한 연구

A Study on The Visual Inspection of Fabric Defects

  • 경계현 (서울대학교 공과대학 제어계측공학과) ;
  • 고명삼 (서울대학교 공과대학 제어계측공학과) ;
  • 이상욱 (서울대학교 공과대학 제어계측공학과) ;
  • 이범희 (서울대학교 공과대학 제어계측공학과)
  • Kyung, Kye-Hyun (Dept. of Control & Instrumentation Eng. College of Engineering, Seoul National University) ;
  • Ko, Myoung-Sam (Dept. of Control & Instrumentation Eng. College of Engineering, Seoul National University) ;
  • Lee, Sang-Uk (Dept. of Control & Instrumentation Eng. College of Engineering, Seoul National University) ;
  • Lee, Bum-Hee (Dept. of Control & Instrumentation Eng. College of Engineering, Seoul National University)
  • 발행 : 1988.07.01
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초록

This paper describes an automatic visual inspection system for fabric defects based on pattern recognition techniques. The inspection for fabric defects can be separated into three sequences of operations which are the detection of fabric defects[1], the classification of figures of fabric defects, and the classification of fabric defects. Comparing projections of defect-detected images with the predefined complex, the classification accuracy of figures of fabric defects was found to be 95.3 percent. Employing the Bayes classifier using cluster shade in SGLDM and variance in decorrelation method as features, the classification accuracy of regional figure defects was found to be 82.4 percent. Finally, some experimental results for line and dispersed figures of fabric defects are included.

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