Fabric defects detection using adaptive wavelets
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 27 May 2014
Abstract
Purpose
Fabric defects detection is vital in the automation of textile industry. The purpose of this paper is to develop and implement a new fabric defects detection method based on adaptive wavelet.
Design/methodology/approach
Fabric defects can be regarded as the abrupt features of textile images with uniform background textures. Wavelets have compact support and can represent these textures. When there is an abrupt feature existed, the response is totally different with the response of the background textures, so wavelets can detect these abrupt features. This method designs the appropriate wavelet bases for different fabric images adaptively. The defects can be detected accurately.
Findings
The proposed method achieves accurate detection of fabric defects. The experimental results suggest that the approach is effective.
Originality/value
This paper develops an appropriate method to design wavelet filter coefficients for detecting fabric defects, which is called adaptive wavelet. And it is helpful to realize the automation of textile industry.
Keywords
Acknowledgements
The authors would like to thank the support from the National Science Foundation of China (No. 61072147, No. 61005002, No. 11271008 and No. 61173102), Shanghai Leading Academic Discipline Project (J50101) and a grant of “The First-class Discipline of Universities in Shanghai”.
Citation
Wen, Z., Cao, J., Liu, X. and Ying, S. (2014), "Fabric defects detection using adaptive wavelets", International Journal of Clothing Science and Technology, Vol. 26 No. 3, pp. 202-211. https://doi.org/10.1108/IJCST-03-2013-0031
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited