The essence and applications of machine vision inspection for textile industry: a review

被引:0
|
作者
Xu, Chuqiao [1 ,2 ]
Xu, Linchen [2 ]
Luo, Kai [2 ]
Zhang, Jitao [2 ]
Sitahong, Adilanmu [3 ]
Yang, Ming [4 ]
Zhang, Chengjun [2 ]
机构
[1] Wuhan Text Univ, Hubei Key Lab Digital Text Equipment, Wuhan, Peoples R China
[2] Wuhan Text Univ, Sch Mech Engn & Automat, Wuhan, Peoples R China
[3] Xinjiang Univ, Sch Mech Engn, Urumqi, Peoples R China
[4] Hubei Integrat Technol & Innovat Ctr Adv Fiberous, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
machine vision; textile industry; intelligent inspection; artificial intelligence; FABRIC DEFECT DETECTION; IMAGE-ANALYSIS; FEATURE-SELECTION; DYED FABRICS; SYSTEM; CLASSIFICATION; CALIBRATION; ALGORITHM; QUALITY; MODEL;
D O I
10.1080/00405000.2024.2426257
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
The machine vision inspection plays a vital role in the digital transformation and intelligent upgrading of the textile industry. Driven by big data and artificial intelligence model, the machine vision inspection is widely<middle dot>used in the textile industry for quality control, process monitoring, consumer personalized fitting and so on. In order to provide a comprehensive and insightful analysis of recent advances on the machine vision inspection technology in the textile industry to promote the development and bring some insights in this area, this paper presents a systematical review from the essence and applications perspective. Firstly, a technology system of machine vision-based textile inspection is proposed. Then, key technologies of image acquisition, image preprocessing, feature extraction, object detection, and result visualization are discussed. Next, applications of machine vision in the whole textile industry chain including fiber preparation, spinning, weaving, printing and dyeing, and clothing manufacturing are analyzed. Finally, the future challenges and opportunities are highlighted. Through this work, it is hoped to provide a reference for how to choose and apply machine vision technologies in the textile industry, and spark new ideas in the effort to realize intelligent textile inspection.
引用
收藏
页数:25
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