Defect detection in magnetic tile images based on stationary wavelet transform. (October 2016)

• Record Type: Journal Article
• Authors: Yang, Chengli; Liu, Peiyong; Yin, Guofu; Jiang, Honghai; Li, Xueqin
• Is Part Of: NDT & E international. Volume 83(2016)
• Page Start: 78
• Page End: 87
• Publication Date: 2016-10
• Subjects: Magnetic tile -- Defect detection -- Stationary wavelet transform -- Machine vision based system; Nondestructive testing -- Periodicals; Contrôle non destructif -- Périodiques; Electronic journals; 620.1127
• DOI: 10.1016/j.ndteint.2016.04.006
• Languages: English
• ISSNs: 0963-8695

Abstract

Abstract: A novel approach using stationary wavelet transform (SWT) is proposed for automatically detecting low-contrast defects under various light conditions in magnetic tile images. In this method, the uneven background was removed by Sobel operation. Then the index low-pass filtering and the nonlinear enhancement were respectively used to eliminate the interference and enhance the target in subbands produced by SWT. To verify the validity of the proposed algorithm, extensive experiments were conducted in a novel machine vision based system. As the result shows, the proposed method achieves an accuracy rate of 92.86% in detecting various defects in magnetic tile surfaces with the average operation time of 0.5190 s, and is superior to traditional methods in terms of the high reliability and accuracy.