基于机器视觉和图像处理的织物疵点检测研究新进展

按照被检测的织物类型并根据当前研究中所使用的方法，简要综述了近年来基于机器视觉和图像处理的织物疵点检测系统新的应用和发展情况。首先分析了织物疵点自动检测研究的理论和现实意义。给出了织物疵点检测系统中视觉图像获取和疵点图像检测两个关键部分的架构。说明了迫切需要进行检测的两类织物白坯布和色织布，着重讨论了对这两类织物进行疵点检测的各种新方法，并详细说明了其检测效果和存在的不足。最后给出了疵点检测研究的几点建议。

New progress of fabric defect detection based on computer vision and image processing

According to the type of detected fabrics as well as the research approaches adopted in recent years, this paper briefly summarizes new fabric defect detection system’s application and progress on computer vision and image processing. The theoretical and practical significance are analyzed firstly in the research area of fabric defect detection. We give the two crucial frameworks of a fabric defect detection system: visual image acquisition and defect image detection. Considering that white fabric and yarn-dyed fabric are especially urgent for detection, we lay emphasis on the discussion of the various novel detection methods involved in the two kinds of fabrics, as well as their application effects and deficiencies. Conclusion is lastly reached and some suggestions are put forward for the development of fabric defect detection in the future.