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Automatic slub detection using Gabor filters

Xiuping Liu (Department of Applied Mathematics, Dalian University of Technology, Dalian, People's Republic of China)
Zhijie Wen (Department of Applied Mathematics, Dalian University of Technology, Dalian, People's Republic of China)
Zhixun Su (Department of Applied Mathematics, Dalian University of Technology, Dalian, People's Republic of China)
Shaogeng Yi (Department of Applied Mathematics, Dalian University of Technology, Dalian, People's Republic of China)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 13 June 2008

Abstract

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.

Keywords

Citation

Liu, X., Wen, Z., Su, Z. and Yi, S. (2008), "Automatic slub detection using Gabor filters", International Journal of Clothing Science and Technology, Vol. 20 No. 4, pp. 214-221. https://doi.org/10.1108/09556220810878838

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited