Detection of steel defect using the image processing algorithms | ||
| The International Conference on Electrical Engineering | ||
| Article 105, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Pages 1-7 PDF (348.54 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/iceeng.2008.34372 | ||
| Authors | ||
| M. Sharifzadeh1; R. Amirfattahi1; S. Sadri1; S. Alirezaee2; M. Ahmadi3 | ||
| 1Electrical and Computer Department., Isfahan University of Technology, Isfahan, Iran. | ||
| 2Engineering Department., University of Zanjan, Zanjan, Iran. | ||
| 3Electrical & Computer Eng. Dept., University of Windsor, 401 Sunset Ave, Windsor, Ontario, Canada. | ||
| Abstract | ||
| Abstract: In this paper, detection and classification of steel surface defects is investigated. Image processing algorithms are applied for detecting four popular kind of steel defects, i.e., hole, scratch, Coil break and rust. The results show that the applied algorithms have a good performance on steel defect detection. Numerical results indicate that the implemented image processing algorithms have 88.4%, 78%, 90.4%, 90.3 % accuracy respectively on the hole, scratch, Coil break and rust defect. | ||
| Keywords | ||
| Automatic inspection; Image processing; Steel defect | ||
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