Crack detection in magnetic tile images using nonsubsampled shearlet transform and envelope gray level gradient
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文摘
Nonsubsampled shearlet transform is first used to detect cracks of magnetic tile. A filtering using envelope gray level gradient is proposed for background correction. A shearlet coefficient variance discriminator is used to detect cracks. A novel machine vision system has verified the validity of the proposed algorithm. The proposed method is effective in detecting cracks longer than 0.9 mm.

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