Review of Fabric Defect Detection Based on Computer Vision

• Published in: 东华大学学报（英文版） Vol. 40; no. 1; pp. 18 - 26
• Main Authors: ZHU Runhu, XIN Binjie, DENG Na, FAN Mingzhu
• Format: Journal Article
• Language: English
• Published: School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China%School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201620,China 2023
• Subjects: algorithm evaluation; fabric defect detection; textile inspection; computer vision
• DOI: 10.19884/j.1672-5220.202108002
• ISSN: 1672-5220

TP29; In textile inspection field,the fabric defect refers to the destruction of the texture structure on the fabric surface.The technology of computer vision makes it possible to detect defects automatically.Firstly,the overall structure of the fabric defect detection system is introduced and some mature detection systems are studied.Then the fabric detection methods are summarized,including structural methods,statistical methods,frequency domain methods,model methods and deep learning methods.In addition,the evaluation criteria of automatic detection algorithms are discussed and the characteristics of various algorithms are analyzed.Finally,the research status of this field is discussed,and the future development trend is predicted.