HangZhou HengKe filter environmental protection company Co.,Ltd

This paper reports the investigation of two different approaches for the extraction of images of slub yarns from woven fabrics (slub extraction) using Gabor filters. We present two methods of designing Gabor filters for extracting slub in both the time domain and the frequency domain. The first method selects a better filter in the time domain according to a designed cost function. The second method obtains the proper parameters for the filter in the frequency domain according to the frequency characteristic of slubs. The experimental results with real woven fabric images confirm the usefulness of the two approaches proposed in this paper. The latter is found to be better than the former. Further, both methods are superior to the existing algorithm.

Key words :fabric industry, Gabor filters, industrial automation, slub extraction, woven fabric

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Due to the unique style and bamboo-like appearance of slub yarn, it is increasingly popular on the fancy yarns market. The mechanical properties of slub yarn, including the twist distribution, have been analyzed in the past. Most of the studies on slub yarn concentrate on its parameters and the principle of formation, but the image extraction of slub yarn in a woven fabric (slub extraction) often relates to defect detection in textile materials, as stated by some researchers, and it is hard to achieve industrial automation. In the woven fabric manufacturing industry, the detection of slubs is still performed manually, so efficiency and accuracy of detection depends on the experience of the operators.

Research work on image extraction of filter cloth has been extensive in the past few years. Its major application has been mainly in the area of automatic fabric inspection. In this paper, the image extraction of denim fabrics with slub yarn as warp is described. It could be applied in the development of automatic fabric retrieval systems which are more demanding in terms of the details of slub features when compared with the automatic filter cloth inspection system.

Two-dimensional (2-D) Gabor filters are multi-channel filters with a multi-resolution decomposition process, which is similar to wavelet analysis. They have proved to be particularly useful in analyzing texture images containing highly specific frequency or orientation characteristics. The Gabor function has been used extensively in defect detection  and texture segmentation, as it can be tuned to a specific frequency and orientation, and achieve both localization in the time domain and frequency domain. Thus it is a good tool to extract the slubs which can be regarded as the oriented texture in the slub yarn. For realizing the automation of slub extraction, this paper reports two new methods to extract slubs in woven fabrics based on Gabor filters. The experimental results demonstrate the feasibility and efficiency of our methods.

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