Automatic fabric defect detection using optimal Gabor filter based on hybrid beetle antennae search–gravitational search algorithm
Author:
Funder
none
Publisher
Springer Science and Business Media LLC
Subject
Atomic and Molecular Physics, and Optics
Link
https://link.springer.com/content/pdf/10.1007/s12596-023-01126-9.pdf
Reference31 articles.
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2. H. Sari-Sarraf, J.S. Goddard, Vision system for on-loom fabric inspection, in 1998 IEEE Annual Textile, Fiber and Film Industry Technical Conference (Cat. No.98CH36246) (1998), 801–810. https://doi.org/10.1109/TEXCON.1998.679228
3. S. Guan, H. Shi, Fabric defect detection based on the saliency map construction of target-driven feature. J. Text. Ins. 109(9), 1133–1142 (2017). https://doi.org/10.1080/00405000.2017.1414669
4. K. Hanbay, Muhammed Fatih Talu, Ömer Faruk Özgüven, fabric defect detection systems and methods-a systematic literature review. Optik 127(24), 11960–11973 (2016). https://doi.org/10.1016/j.ijleo.2016.09.110
5. D. Chetverikov, A. Hanbury, Finding defects in texture using regularity and local orientation. Pattern. Recogntion. 35(10), 2165–2180 (2002). https://doi.org/10.1016/S0031-3203(01)00188-1
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