机器视觉在织物疵点检测上的应用研究综述  

Analysis on Application of Machine Vision in Fabric Defect Detection

作　　者：赵艳 左保齐[1,2] ZHAO Yan;ZUO Baoqi(College of Textile and Clothing Engineering,Soochow University,Suzhou,Jiangsu 215000,China;National Engineering Laboratory for Modern Silk,Soochow University,Suzhou,Jiangsu 215000,China)

机构地区：[1]苏州大学纺织与服装工程学院,江苏苏州215000 [2]现代丝绸国家工程实验室,江苏苏州215000

出　　处：《计算机工程与应用》2020年第2期11-17,共7页Computer Engineering and Applications

基　　金：江苏省特色优势学科三期

摘　　要：随着机器视觉在各个领域的广泛应用和大面积实施,关于机器视觉在纺织生产和质量控制上的应用也成为了研究热点。介绍了织物疵点机器视觉检测系统的硬件选择与布置,重点介绍了光源和相机的选取。根据检测原理的不同,将机器视觉检测方法分为统计法、频谱法、基于学习的方法以及结构法和模型法,并对这些方法做了综述。梳理分析了机器视觉在织物疵点检测方面所面临的问题和未来发展构想。With the wide application and large-scale implementation of machine vision in various fields,the application of machine vision in textile production and quality control has also become a research hotspot.Firstly,the hardware selection and arrangement of the fabric defect detection machine vision detection system are introduced,and the selection of the light source and the camera is mainly introduced.Then according to the different detection principles,the machine vision detection methods are divided into statistical methods,spectrum methods,learning-based methods,structural methods and model methods,and an overview of these methods is done.Finally,the paper analyzes the problems faced by machine vision in fabric defect detection and the future development concept.

关 键 词：机器视觉 图像分解 织物疵点检测 自动识别 

分 类 号：TN911.72[电子电信—通信与信息系统]