Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on The Visual Inspection of Fabric Defects

시각 장치를 이용한 직불 결합 인식에 관한 연구

  • 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)
  • 경계현 (서울대학교 공과대학 제어계측공학과) ;
  • 고명삼 (서울대학교 공과대학 제어계측공학과) ;
  • 이상욱 (서울대학교 공과대학 제어계측공학과) ;
  • 이범희 (서울대학교 공과대학 제어계측공학과)
  • Published : 1987.11.20
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Abstract

This paper describes the automatic visual inspect ion system of fabric defects based on pattern recognition techniques. To extract features for detection of fabric defects, four different techniques such as SGLDM. GCM, decorrelation method, and Laws' texture measure were investigated. From results of computer simulation, it has been found that GCM and decorrelation techniques provide good features. By employing a simple statistical pattern recognition technique, theaccuracy of classification of defect and nondefect was more than 90%. Some experimental results arm also presented.

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