Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77598
Title: Fundamentals of common computer vision techniques for textile quality control
Authors: Jiang, JL
Wong, WK 
Keywords: Fabric defect detection
Model-based approaches
Spectral approaches
Statistical approaches
System architecture
Issue Date: 2017
Publisher: Woodhead Publishing, an imprint of Elsevier
Source: In WK Wong (Ed.), Applications of computer vision in fashion and textiles, p. 3-15. Duxford, U.K. : Woodhead Publishing, an imprint of Elsevier, 2017 How to cite?
Abstract: In current apparel industry, almost all apparel-manufacturing plants still rely on human visual method of fabric inspection. However, the accuracy of human visual inspection can only achieve around 60%-75% and is limited to identifying obvious fabric defects. To improve the effectiveness of fabric inspection, automated fabric inspection system based on technology of computer vision is an emerging trend and a great demand from the textile and apparel industry. This chapter first introduces current challenges of common computer vision techniques for textile quality control. Then basic system architecture of an automated fabric inspection system and methodologies of computer vision for fabric defect detection are presented. Finally, merits of computer vision technique and its prospects for fabric defect detection are discussed.
URI: http://hdl.handle.net/10397/77598
ISBN: 9780081012185
9780081012178
DOI: 10.1016/B978-0-08-101217-8.00001-4
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