scholarly journals A New Fabric Defect Detection Model based on Summed-up Distance Matching Function and Gabor Filter Bank

2018 ◽  
Author(s):  
Yihong Zhang ◽  
Xin Ruan ◽  
Shijie Pan ◽  
Lifeng Shi ◽  
Bao Zong
Keyword(s):  
Defect Detection ◽  
Filter Bank ◽  
Gabor Filter ◽  
Matching Function ◽  
Detection Model ◽  
Fabric Defect Detection ◽  
Model Based ◽  
Fabric Defect ◽  
Gabor Filter Bank

Fabric Defect Detection Method Based on Gabor Filters

2011 ◽  
Vol 301-303 ◽  
pp. 229-234 ◽  
Author(s):  
Yan Bei Liu ◽  
Zhi Tao Xiao ◽  
Fang Zhang ◽  
Jun Wu
Keyword(s):  
Defect Detection ◽  
Filter Bank ◽  
Detection Method ◽  
Gabor Filter ◽  
Texture Feature ◽  
Fabric Defect Detection ◽  
Fabric Defect ◽  
Gabor Filter Bank ◽  
Detection Effect ◽  
Good Detection

In this paper, a fabric defect detection method based on Gabor filter bank is present. In this method, the parameters of Gabor filter bank depend on the fabric texture feature. Using the Gabor filter bank with multi-frequency and multi-orientation, a textile image produces multi-image. Then, the images are reconstructed into one image for detecting defects. It is illustrated that most kinds of defects are correctly detected and segmented. The experimental results show that the algorithm is robust and has good detection effect.

Defect Detection Study of Fabric Based on Gabor Filter Algorithm

2011 ◽  
Vol 697-698 ◽  
pp. 491-494
Author(s):  
G.X. Li ◽  
Y.F. Li
Keyword(s):  
Iterative Algorithm ◽  
Defect Detection ◽  
Gabor Filter ◽  
Detection Algorithm ◽  
Algorithm Analysis ◽  
Post Processing ◽  
Fabric Defect Detection ◽  
Fabric Defect ◽  
Multichannel Data ◽  
Defect Image

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.

Fabric defect detection based on GLCM and Gabor filter: A comparison

Optik ◽  
2013 ◽  
Vol 124 (23) ◽  
pp. 6469-6474 ◽  
Author(s):  
Jagdish Lal Raheja ◽  
Sunil Kumar ◽  
Ankit Chaudhary
Keyword(s):  
Defect Detection ◽  
Gabor Filter ◽  
Fabric Defect Detection ◽  
Fabric Defect
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