Defect detection in magnetic tile images based on stationary wavelet transform
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 enh...
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| Veröffentlicht in: | NDT & E international : independent nondestructive testing and evaluation 2016-10, Vol.83, p.78-87 |
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| container_title | NDT & E international : independent nondestructive testing and evaluation |
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| creator | Yang, Chengli Liu, Peiyong Yin, Guofu Jiang, Honghai Li, Xueqin |
| description | 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 0.5190s, and is superior to traditional methods in terms of the high reliability and accuracy. |
| doi_str_mv | 10.1016/j.ndteint.2016.04.006 |
| format | Article |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Algorithms Defect detection Defects Filtering Filtration Image detection Machine vision Machine vision based system Magnetic tile Nondestructive testing Stationary wavelet transform Wavelet transforms |
| title | Defect detection in magnetic tile images based on stationary wavelet transform |
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