Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach

Abstract

With the increasing customer demand on fabric variety in fashion markets, fabric texture becomes much more diverse, which brings great challenges to accurate fabric defect detection. In this paper, a fabric inspection model, consisting of image preprocessing, image restoration, and thresholding operation, is developed to address the woven fabric defect… (More)
DOI: 10.1109/ACCESS.2017.2667890

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Cite this paper

@article{Tong2017FabricDD, title={Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach}, author={Le Tong and Wai Keung Wong and C. K. Kwong}, journal={IEEE Access}, year={2017}, volume={5}, pages={5947-5964} }