An Feed Forward Model for Fabric Defect Detection using Region based Texture Similarity Matrix and Gabor Filters

2016 ◽  
Vol 6 (6special) ◽  
pp. 302 ◽  
Author(s):  
P. Vidhya Lakshmi ◽  
A. Senthil Kumar
Keyword(s):  
Defect Detection ◽  
Gabor Filters ◽  
Forward Model ◽  
Similarity Matrix ◽  
Feed Forward ◽  
Fabric Defect Detection ◽  
Fabric Defect ◽  
Feed Forward Model

Fabric defect detection using Gabor filters and defect classification based on LBP and Tamura method

2013 ◽  
Vol 104 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Junfeng Jing ◽  
Huanhuan Zhang ◽  
Jing Wang ◽  
Pengfei Li ◽  
Jianyuan Jia
Keyword(s):  
Defect Detection ◽  
Gabor Filters ◽  
Defect Classification ◽  
Fabric Defect Detection ◽  
Fabric Defect

scholarly journals Fabric defect detection using multi-level tuned-matched Gabor filters

2012 ◽  
Vol 8 (2) ◽  
pp. 325-341 ◽  
Author(s):  
Kai-Ling Mak ◽  
◽  
Pai Peng ◽  
Ka-Fai Cedric Yiu ◽  
Keyword(s):  
Defect Detection ◽  
Gabor Filters ◽  
Fabric Defect Detection ◽  
Fabric Defect ◽  
Multi Level

Texture Defect Detection Using Gabor Filters

2012 ◽  
Vol 229-231 ◽  
pp. 1176-1179
Author(s):  
Peng Fei Li ◽  
Huan Huan Zhang ◽  
Xue Juan Kang ◽  
Jun Feng Jing
Keyword(s):  
Defect Detection ◽  
Texture Features ◽  
Gabor Filters ◽  
Experimental Results ◽  
Detection Scheme ◽  
Fabric Defect Detection ◽  
Fabric Defect ◽  
Texture Defect Detection ◽  
Regular Texture

This paper aims at investigating a method for tackling the problem of automated fabric defect detection. A new scheme for defect detection using Gabor filters was proposed. In the experiment, texture features is extracted using Gabor filters. The proposed method would automatically segment defects from the regular texture. The experimental results showed the effectiveness of the proposed detection scheme.

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