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论文类型：期刊论文

发表时间：2008-01-01

发表刊物：INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY

收录刊物：SCIE

卷号：20

期号：4

页面范围：214-221

ISSN号：0955-6222

关键字：textile industry; image processing; error handling

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.