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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Classifying Scratch Defects on Billets Using Image Processing and SVM

영상처리와 SVM을 이용한 Billet의 스크래치 결함 분류

  • 이상준 (POSTECH, 전자전기공학과) ;
  • 김상우 (POSTECH, 창의IT융합공학과, 전자전기공학과)
  • Received : 2012.12.04
  • Accepted : 2013.02.05
  • Published : 2013.03.01
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Abstract

In the steel manufacturing area, researches for defect inspection receive a big attention for quality control. This paper proposes an algorithm to detect a scratch defect on steel billets. This algorithm takes ROIs (Regions of Interest), and extracts 11 features which represent properties of defect on a ROI. SVM (Support Vector Machine) is used to classify defect and normal ROIs. The algorithm classifies a frame image of a Billet as a defect image if there is one or more defect ROIs. In the experiments, the proposed algorithm had reliable classifying accuracy.

Keywords

References

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