Fabric defect detection via low-rank decomposition with multi-priors and visual saliency features
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Published:2024-11
Issue:16
Volume:361
Page:107150
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ISSN:0016-0032
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Container-title:Journal of the Franklin Institute
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language:en
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Short-container-title:Journal of the Franklin Institute
Author:
Di LanORCID,
Long Hanbin,
Shi BoshanORCID,
Xia Yunfei,
Liang Jiuzhen
Reference51 articles.
1. H. Zuo, Y. Wang, X. Yang, et al., Fabric defect detection based on texture enhancement, in: IEEE International Congress on Image and Signal Processing, 2012.
2. FDAS: A knowledge-based framework for analysis of defects in woven textile structures;Srinivasan;J. Text. Inst.,1992
3. Differential evolution-based optimal Gabor filter model for fabric inspection;Tong;Neurocomputing,2016
4. Unsupervised defect detection in textiles based on Fourier analysis and wavelet shrinkage;Hu;Appl. Opt.,2015
5. Fabric defect detection using morphological flters;Mak;Image Vis. Comput.,2009