scholarly journals Plain Woven Fabric Defect Detection using GLCM based Feature Extraction

2018 ◽  
Vol 6 (5) ◽  
pp. 874-879
Author(s):  
Mrs. S. Sahaya Tamil Selvi
Keyword(s):  
Feature Extraction ◽  
Defect Detection ◽  
Woven Fabric ◽  
Fabric Defect Detection ◽  
Fabric Defect

Feature Extraction Using Auto-Regression Spectral Analysis for Fabric Defect Detection

2011 ◽  
Vol 175-176 ◽  
pp. 366-370
Author(s):  
Jian Zhou ◽  
Hong Gang Bu ◽  
Jun Wang
Keyword(s):  
Feature Extraction ◽  
Spectral Analysis ◽  
Defect Detection ◽  
High Spectral Resolution ◽  
Vertical Projection ◽  
Horizontal Projection ◽  
One Dimensional ◽  
Feature Extraction Method ◽  
Fabric Defect Detection ◽  
Fabric Defect

A new feature extraction method for fabric defect detection is proposed, which is based on one-dimensional projection series of fabric images. By using horizontal projection and vertical projection of the image, the characteristics of periodicity and orientation of fabric texture can be fully utilized. In terms of detection defects, it helps acquire information at most, and the computational complexity can also be greatly decreased with one-dimensional projection series. The proposed new method, named Auto-Regressive spectral analysis (AR), is a kind of modern spectral analysis method which is very suitable for analyzing short data with a high spectral resolution. The Burg algorithm is applied to estimate the AR spectrum. Finally, t-test is applied to verify the effectiveness of AR spectral features. This approach has been applied to various cases of defect detections with satisfactory results.

Applications of Fractal in Textile Engineering

2012 ◽  
Vol 627 ◽  
pp. 567-571
Author(s):  
Chang Qu ◽  
Meng Xu ◽  
Jun Ze Wang ◽  
Jie Deng
Keyword(s):  
Texture Analysis ◽  
Defect Detection ◽  
Fractal Theory ◽  
Woven Fabric ◽  
Pattern Design ◽  
Fabric Defect Detection ◽  
Complex Problems ◽  
Fabric Defect ◽  
Fractal Images ◽  
Fabric Surface

In view of the generation of fractal images, the applications of fractal in textile engineering are summarized into two parts. Firstly, fractal images are used in textile image design, textile pattern design and so on. Secondly, fabric properties, such as woven fabric permeability analysis, fabric defect detection, texture analysis of the fabric surface and so on, are analyzed based on fractal theory. The applications of fractal images provide some new creative ideas for textile pattern design. The fractal theory is a powerful tool to solve the complex problems of textile engineering.

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