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Automatic recognition of fabric structures based on digital image decomposition

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Title Automatic recognition of fabric structures based on digital image decomposition
 
Creator Liqing, L
Jia, Tingting
Chen, Xia
 
Subject Digital image decomposition
Fabric structure
Woven fabric
 
Description 388-391
A method to recognize fabric structures automatically based on digital image decomposition has been introduced. The method includes establishing a Wiener filter adapted to the fabric texture. A woven fabric image can be decomposed into horizontal and vertical subimages by using this Wiener filter. These two subimages contain the weft and warp texture information respectively. After thresholding, the gray-level subimages are transformed into binary images, in which the weft or warp floats range periodically. Then the weaving density can be figured out. Based on the preceding work, the positional information of yarns in every single subimage can directly help to enclose every interlacing point. Considering the variety of gray value in each point unit, warp point and weft point can be distinguished. The basic structures for woven fabric (plain, twill and satin) have been evaluated and it is found that the density for woven fabric can be calculated exactly and the structures can be identified clearly.
 
Date 2008-12-16T08:37:57Z
2008-12-16T08:37:57Z
2008-12
 
Type Article
 
Identifier 0971-0426
http://hdl.handle.net/123456789/2613
 
Language en_US
 
Relation Int. Cl. ⁸ G06T
 
Publisher CSIR
 
Source IJFTR Vol.33(4) [December 2008]