机器视觉在织物疵点检测中的应用进展  

Application Progress of Machine Vision in Fabric Defect Detection

作　　者：徐伟锋 戴明宏 朱丹[1] 马方毅 XU Weifeng;DAI Minghong;ZHU Dan;MA Fangyi(Shaoxing Vocational&Technical College,Shaoxing,441002,China)

机构地区：[1]绍兴职业技术学院,浙江绍兴312000

出　　处：《棉纺织技术》2021年第4期80-84,共5页Cotton Textile Technology

基　　金：绍兴职业技术学院2020年校级专项科研项目(SZK034)。

摘　　要：探讨基于机器视觉的织物疵点检测应用现状及发展趋势。介绍了织物疵点视觉检测系统的基本结构和工作原理。从图像预处理算法、图像分割算法、织物疵点特征提取算法等3个方面,剖析了各种算法在织物疵点检测中的实际应用情况。总结了不同算法的检测效果和存在的不足之处,并对织物疵点检测的未来发展进行展望。认为:结合人工智能、多传感器的技术,构建稳定可靠的基于机器视觉的织物疵点检测系统可进一步提高疵点检测的准确性。Application status and development trend of fabric defect detection based on machine vision were discussed.Basic structure and working principle of fabric defects vision inspection system were introduced.From three aspects,image preprocessing algorithm,image segmentation algorithm and fabric defect feature extraction algorithm,actual application of various algorithms in fabric defect detection was analyzed.Detection effects and shortcomings of different algorithms were summarized.Future development of fabric defect detection was look ahead.It is considered that combining artificial intelligence and multi-sensor technology to build stable and reliable fabric defect detection system based on machine vision,which can further improve accuracy of defect detection.

关 键 词：纺织品 机器视觉 织物疵点 检测算法 图像处理技术 

分 类 号：TS103.6[轻工技术与工程—纺织工程]