摘要
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发展和应用情况。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2个关键部分的架构。说明了迫切需要进行检测的2类织物白坯布和色织布,着重讨论对这类织物进行疵点检测的各种新方法,并分析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。
According to the types of fabric to be detected as well as the research approaches adopted in recent years, this paper briefly summarizes new developments and applications of fabric defect detection system based on computer vision and image processing. The theoretical and practical significance are analyzed firstly in the research area of fabric defect detection. Two crucial frameworks of a fabric defect detection system： visual image acquisition and defect image detection are given. Considering the fact that the gray fabric and yarn-dyed fabric are badly needed for detection, emphasis is laid on the discussion of the various novel detection methods involved in the two kinds of fabrics, including the results of detection and deficiencies. Some suggestions are put forward for the fabric defect detection in the future.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2014年第3期158-164,共7页
Journal of Textile Research
关键词
织物疵点
检测
机器视觉
图像处理
白坯布
色织布
fabric defect
detection
computer vision
image processing
gray fabric
yarn-dyed fabric
