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A fabric defect detection algorithm via context-based local texture saliency analysis

Zhoufeng Liu (School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China.)
Chunlei Li (School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China.)
Quanjun Zhao (School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China.)
Liang Liao (School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China.)
Yan Dong (School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China.)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 7 September 2015

291

Abstract

Purpose

Fabric defect detection plays an important role in textile quality control. The purpose of this paper is to propose a fabric defect detection algorithm via context-based local texture saliency analysis.

Design/methodology/approach

In the proposed algorithm, a target image is first divided into blocks, then the Local Binary Pattern (LBP) technique is used to extract the texture features of blocks. Second, for a given image block, several other blocks are randomly chosen for calculating the LBP contrast between a given block and the randomly chosen blocks. Based on the obtained contrast information, a saliency map is produced. Finally, saliency map is segmented by using an optimal threshold, which is obtained by an iterative approach.

Findings

The experimental results show that the proposed algorithm, integrating local texture features and global image texture information, can detect texture defects effectively.

Originality/value

In this paper, a novel fabric defect detection algorithm via context-based local texture saliency analysis is proposed.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos 61379113 and 61202499), the leading talents of Zhengzhou City (131PLJRC643).

Citation

Liu, Z., Li, C., Zhao, Q., Liao, L. and Dong, Y. (2015), "A fabric defect detection algorithm via context-based local texture saliency analysis", International Journal of Clothing Science and Technology, Vol. 27 No. 5, pp. 738-750. https://doi.org/10.1108/IJCST-02-2014-0028

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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