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1 – 1 of 1Xiuping Liu, Zhijie Wen, Zhixun Su and Shaogeng Yi
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…
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.
Details