Review of Vision Real-Time Inspection Algorithm for Rolling Steel Surface Defects

Author:

Li Wu Bin1,Lu Chang Hou1,Zhang Jian Chuan1

Affiliation:

1. Shandong University

Abstract

Rolling steel surface defect inspection technology based on machine vision is more and more widely used. The latest progress of vision-based real-time inspection algorithm for rolling steel surface defect at home and abroad is introduced, and several key issues are analyzed. Finally, the current domestic research emphases and development trends are proposed.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference16 articles.

1. Ke Xu, Jinwu Xu and Yulai Chen: Journal of University of Science and Technology Beijing. Vol. 24(2002), p.329(In Chinese).

2. J.P. Yun, Y.S. Park, B. Seo, S.W. Kim, S.H. Choi, C.H. Park, H.M. Bae, H.W. Hwang, Development of Real-time Defect Detection Algorithm for High-speed Steel Bar in Coil(BIC), SICE-ICASE International Joint Conference, Bexco, Busan, Korea, Oct. 18-21, 2006, pp.2495-2498.

3. S.H. Choi, J.P. Yun, B. Seo, Y.S. Park, S.W. Kim, Real-Time Defects Detection Algorithm for High-Speed Steel Bar in Coil, , World Academy of Science, Engineering and Technology 25, 2007, pp.66-70.

4. M.R. Yazdchi, A.G. Mahyari, A. Nazeri, Detection and Classification of Surface Defects of Cold Rolling Mill Steel Using Morphology and Neural Network, International Conference on Computational Intelligence for Modelling Control & Automation, Vienna, Austria, Dec. 10-12, 2008, pp.1071-1076.

5. Xiangdi Meng, Shenglai Chen and Jinghuan Guo: OPTICAL TECHNIQUE. Vol. 32(2007), p.382(In Chinese).

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