Defect Detection Study of Fabric Based on Gabor Filter Algorithm

被引：1
|
作者：
Li, G. X. [1 ]
Li, Y. F. [2 ]
机构：
[1] Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300160, Peoples R China
[2] Tianjin Polytech Univ, Tianjin Key Lab Adv Mechatron Equipment Technol, Tianjin 300160, Peoples R China
来源：
ADVANCES IN MATERIALS MANUFACTURING SCIENCE AND TECHNOLOGY XIV | 2012年 / 697-698卷
关键词：
Fabric defect detection; Image processing; Gabor filter; Image fusion;
D O I：
10.4028/www.scientific.net/MSF.697-698.491
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：491 / +
页数：2
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