摘要
为实现扁平漆包线表面缺陷的在线检测,文中设计了一种基于图像处理的检测系统。该系统采用帧间差分法分离扁平漆包线的背景,针对背景分离图像中的抖动干扰进行消抖处理,通过分析消抖处理结果判断当前图像是否存在缺陷。对于存在缺陷的图像,利用连通域分析和边界追踪算法提取了缺陷的位置、面积、周长等特征。实验结果表明,该系统检测缺陷的准确率达到95%,降低了缺陷特征提取的处理时间,可以满足在线检测的要求,具有较好的应用价值。
In order to realize the on-line detection of flat enameled wire surface defects,a detection system based on image processing is designed in this study.The system uses a frame-to-frame difference method to separate the background of the flat enameled wire.In view of the jitter interference in the background-separated image,a debounce process is proposed.For images with defects,features such as the location,area,and perimeter of the defects are extracted using connected domain analysis and boundary tracking algorithms.The experimental results show that the accuracy of the system for detecting defects reaches 95%,which reduces the processing time of defect feature extraction,indicating that the system can meet the requirements of online detection and has good application value.
作者
宋章明
贺慧勇
黄跃俊
SONG Zhangming;HE Huiyong;HUANG Yuejun(School of Physics and Electronic Science,Changsha University of Science & Technology,Changsha 410114,China;Hunan Province Higher Education Key Laboratory of Modeling and Monitoring on the Near-Earth Electromagnetic Environments,Changsha 410114,China)
出处
《电子科技》
2021年第5期72-78,共7页
Electronic Science and Technology
基金
湖南省研究生科研创新项目(CX2018B574)。
关键词
扁平漆包线
图像处理
表面缺陷
在线检测
帧间差分法
背景分离
抖动干扰
特征提取
flat enameled wire
image processing
surface defects
online detection
frame difference method
background separation
jitter interference
feature extraction
