Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization

2022 ◽  
Vol 134 ◽  
pp. 103551
Author(s):  
Mengqi Chen ◽  
Lingjie Yu ◽  
Chao Zhi ◽  
Runjun Sun ◽  
Shuangwu Zhu ◽  
...  
2011 ◽  
Vol 697-698 ◽  
pp. 491-494
Author(s):  
G.X. Li ◽  
Y.F. Li

This thesis exploits a multichannel Gabor filters detection algorithm. Analysis filtering images from different orientations and scales, then fuses the multichannel data. Finally, a threshold iterative algorithm and mathematical morphology post-processing is used to achieve the fabric defect detection. The experiment selects five types of fabric defect image. Experimental results suggest that this algorithm can effectively identify blob-shaped, linear and planar defect and has well real-time character.


Optik ◽  
2013 ◽  
Vol 124 (23) ◽  
pp. 6469-6474 ◽  
Author(s):  
Jagdish Lal Raheja ◽  
Sunil Kumar ◽  
Ankit Chaudhary

2018 ◽  
Vol 110 (4) ◽  
pp. 487-495 ◽  
Author(s):  
Yueyang Li ◽  
Haichi Luo ◽  
Miaomiao Yu ◽  
Gaoming Jiang ◽  
Honglian Cong

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