Abstract
Abstract:In this paper, detection and classification of steel surface defects is investigated. Imageprocessing 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 agood performance on steel defect detection. Numerical results indicate that theimplemented image processing algorithms have 88.4%, 78%, 90.4%, 90.3 % accuracyrespectively on the hole, scratch, Coil break and rust defect.
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