한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)

  • 제23권8호
  • /
  • Pages.80-88
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  • 2006
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  • 1225-9071(pISSN)
  • /
  • 2287-8769(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
권호 표지

KNN 분류기에 의한 강판 표면 결함의 분류

Classification of Surface Defect on Steel Strip by KNN Classifier

  • 김철호 (서울산업대학교 대학원 메카트로닉스 공학과) ;
  • 최세호 (포스코 기술연구소 계측연구그룹) ;
  • 김기범 (서울산업대학교 기계설계.자동화공학부) ;
  • 주원종 (서울산업대학교 기계설계.자동화공학부)
  • 발행 : 2006.08.01
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초록

This paper proposes a new steel strip surface inspection system. The system acquires bright and dark field images of defects by using a stroboscopic IR LED illuminator and area camera system and the defect images are preprocessed and segmented in real time for feature extraction. 4113 defect samples of hot rolled steel strip are used to develop KNN (k- Nearest Neighbor) classifier which classifies the defects into 8 different types. The developed KNN classifier demonstrates about 85% classifying performance which is considered very plausible result.

키워드

참고문헌

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