Research on surface quality evaluation system of steel strip based on computer vision

  • Authors:
  • Zhao Jiuliang;Liu Weiwei;Yan Feng;Li Jun;Zhang Yao;Yan Yunhui

  • Affiliations:
  • School of Mechanical Engineering & Automation, Northeastern University, Shenyang, China;The State Key Laboratory of Rolling & Automation, Northeastern University, Shenyang, China;College of Information Science & Engineering, Northeastern University, Shenyang, China;School of Mechanical Engineering & Automation, Northeastern University, Shenyang, China;School of Mechanical Engineering & Automation, Northeastern University, Shenyang, China;School of Mechanical Engineering & Automation, Northeastern University, Shenyang, China

  • Venue:
  • IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
  • Year:
  • 2009

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Abstract

An expert system of strip steel surface quality evaluation based on defect detection is proposed in this paper. Take surface defects into consideration, the expert system structure, image processing and detection processing is discussed. The software is designed with modular method to realize the function. This system can not only offer the quality evaluation reports but also provide valuable solution to avoid similar problem in the future. Furthermore, the system will rank and price the steel coil products according to the surface quality so as to prevent the dissensions caused by surface quality problems and reduce production cost.