Low-rank decomposition fabric defect detection based on prior and total variation regularization

Low-rank decomposition model is widely used in fabric defect detection, where a feature matrix is decomposed into a low-rank matrix that represents defect-free regions of the image and a sparse matrix that represents defective regions. Two shortcomings, however, still exist in the traditional low-ra...

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