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An overview of the application of image processing technology for yarn hairiness evaluation

Guohong Zhang (College of Fashion, Shanghai University of Engineering Science, Shanghai, China)
Binjie Xin (Research Center of Creative Product Design, Shanghai University of Engineering Science, Shanghai, China)

Research Journal of Textile and Apparel

ISSN: 1560-6074

Article publication date: 14 March 2016

328

Abstract

Purpose

This paper aims to overview the current status of development and application of digital image processing technology used for the yarn hairiness evaluation.

Design/methodology/approach

Digital image processing technology is one of the new methods used for the yarn detection, which can be used for the digital characterization and objective evaluation of yarn appearance. The comparison between the traditional detection methods and this new developed method was made and analyzed.

Findings

Compared with the traditional methods, image-based methods have the advantages of being objective, fast and accurate. Therefore, it was proved that digital image processing techniques should be a new trend in terms of the yarn appearance evaluation.

Keywords

Acknowledgements

This project is supported by the National Natural Science Foundation of China under grant No. 61271419.

Citation

Zhang, G. and Xin, B. (2016), "An overview of the application of image processing technology for yarn hairiness evaluation", Research Journal of Textile and Apparel, Vol. 20 No. 1, pp. 24-36. https://doi.org/10.1108/RJTA-09-2015-0027

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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