Automatic slub detection using Gabor filters

被引:2
|
作者
Liu, Xiuping [1 ]
Wen, Zhijie [1 ]
Su, Zhixun [1 ]
Yi, Shaogeng [1 ]
机构
[1] Dalian Univ Technol, Dept Appl Math, Dalian, Peoples R China
关键词
textile industry; image processing; error handling;
D O I
10.1108/09556220810878838
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
Purpose - Automatic slub detection is vital in the classification and identification of fabric images. This paper seeks to present a rapid and accurate approach for automatic detection of slub in fabric images using Gabor filters. Design/methodology/approach - Slub can be regarded as defects along weft or warp. Gabor filters as bandpass filters consider the directional characteristics of slub and its frequency spectrum after Fourier transform. Choosing appropriate parameters for Gabor filters, slub can be detected accurately. Findings - The proposed method achieves automatic detection of slub. The experimental results suggest that the authors approach is effective. Originality/value - This paper considers appropriate parameters to design a Gabor filter for automatic detection of slub. And it is helpful to classify and identify fabric images.
引用
收藏
页码:214 / 221
页数:8
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