Research progress of image processing technology for fabric defect detection

被引：0
|
作者：
Lü W. [1 ]
Lin Q. [1 ]
Zhong J. [1 ]
Wang C. [1 ]
Xu W. [2 ]
机构：
[1] School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou
[2] College of Textile Science and Engineering(International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou
来源：
Fangzhi Xuebao/Journal of Textile Research | 2021年 / 42卷 / 11期
关键词：
Defect detection; Digital image processing; Fabric defect; Image preprocessing; Machine vision;
D O I：
10.13475/j.fzxb.20200702710
中图分类号：
学科分类号：
摘要：
With the enhancement of product quality requirements in the textile industry and the limitations of traditional defect detection methods, the automatic detection of fabric defects based on image processing technology has seen an rapidly development. Compared with traditional technology, the application of image processing technology improves the processing efficiency and realizes the digitization and intelligent manufacturing of the textile industry. This paper introduces the preprocessing technology of fabric images, and summarizes the mainstream methods of fabric defect detection, including structure-based methods, statistics-based methods, spectrum-based methods, model-based methods and learning-based methods. In addition, it reviews the principles of these methods, and examines their advantages and disadvantages and scope of applications. Besides, the paper introduces the existing finished equipment and compares the advantages and disadvantages of these equipment. Difficulties facing the existing image processing technology in the application of the textile industry are analyzed, and prospects of future development are discussed. © 2021, Periodical Agency of Journal of Textile Research. All right reserved.
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页码：197 / 206
页数：9
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