Review of vision-based steel surface inspection systems

Author:

Neogi Nirbhar,Mohanta Dusmanta K,Dutta Pranab K

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference95 articles.

1. Dupont F, Odet C, Carton M: Optimization of the recognition of defects in flat steel products with the cost matrices theory. NDT&E International 1997, 30(1):3-10. URL: , accessed July '12 http://www.engr.wisc.edu/mpac/pdf/paper13.pdf URL:, accessed July '12 10.1016/S0963-8695(96)00045-X

2. Jia H, Murphey YL, Shi J, Chang T: An Intelligent Real-time Vision System for Surface Defect Detection. IEEE-Proceedings of the 17th International Conference on Pattern Recognition; 2004:2-5.

3. Sharifzadeh M, Alirezaee S, Amirfattahi R, Sadri S: Detection of Steel Defect Using the Image Processing Algorithms. IEEE International Multitopic Conference; 2008:125-127.

4. Verlag Stahleisen GmbH, Germany; http://www.stahleisen.de , accessed June '13

5. Park C, Won SC: An automated web surface for hot wire rod using undecimated wavelet transform and support vector machine. Industrial Electronics, IECON'09, 35th Annual Conference of IEEE; 2009:2411-2415.

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