摘要
机织物疵点严重影响产品质量,其修复高度依赖在线快速疵点检测。使用机器视觉技术代替人工进行疵点检测,可以大幅提高检测精度和检测效率,近年来得到快速发展。聚焦基于机器视觉的机织物疵点检测系统及检测算法,系统阐述了基于设计特征和基于学习的疵点检测方法的研究进展,对其检测精度和适用范围进行了分析与比较。最后对基于机器视觉的机织物疵点检测面临的挑战和发展趋势进行了探讨。
The defects in woven fabric seriously affect the quality of end products,and their repair is highly dependent on online fast defect detection.The use of machine vision technology instead of manual defect detection can greatly improve the detection accuracy and detection efficiency,and has developed rapidly in recent years.Focusing on the woven fabric defect detection system and detection algorithm based on machine vision,the research progress of defect detection methods is expounded systematically based on design features and learning,and an in-depth analysis and comparison of their detection accuracy and application scope is made.Finally,the challenges and future development trends of woven fabric defect detection based on machine vision are discussed.
作者
秦勤
李想
郑湘龙
盛世良
刘璐瑶
陈彦斐
聂高伟
周伟涛
邵伟力
喻红芹
QIN Qin;LI Xiang;ZHENG Xianglong;SHENG Shiliang;LIU Luyao;CHEN Yanfei;NIE Gaowei;ZHOU Weitao;SHAO Weili;YU Hongqin(Research Institute of Textile and Clothing Industries,Zhongyuan University of Technology,Zhengzhou 451191,Henan,China)
出处
《上海纺织科技》
2025年第6期63-67,共5页
Shanghai Textile Science & Technology
基金
国家重点研发计划子课题(2022YFB4700602、2022YFB47006 01、2022YFB4700603)。
关键词
机织物
疵点检测
机器视觉
检测算法
深度学习
woven fabric
defect detection
machine vision
detection algorithm
deep learning
