环形陶瓷金属涂层缺陷检测方法研究  

Research on the Defect Method of Detection Circular Ceramic Metal Coating

作　　者：马鼎 吴定祥 唐立军[1,2] MA Ding;WU Dingxiang;TANG Lijun(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;Changsha Billion Set Intelligent Technology Co.,Ltd.,Changsha 410004,China)

机构地区：[1]长沙理工大学物理与电子科学学院,湖南长沙410114 [2]近地空间电磁环境监测与建模湖南省普通高校重点实验室,湖南长沙410114 [3]长沙亿旭智能科技有限公司,湖南长沙410114

出　　处：《电子科技》2021年第6期28-33,共6页Electronic Science and Technology

基　　金：国家科技支撑计划(2014BAH28F04);湖南省科学研究项目(15K009,17K004);湖南省重点研发计划(2018GK2054)。

摘　　要：针对环形器件表面检测中存在的问题,文中以环形金属涂层陶瓷为研究对象,提出了一种基于机器视觉的表面缺陷检测方法。该方法使用Canny边缘检测和Hough变换快速定位同心圆轮廓,进而提取金属涂层区域。为了将极坐标转换为直角坐标,文中采用径向投影方法将环形金属涂层图转换为矩形状图。最后,对连通域面积和周长进行分析,确定环形陶瓷金属涂层是否存在缺陷。实验结果表明,对于缺损面积大于0.5 mm×0.5 mm的样品,该算法的检测正确率为98%。In view of the problems in the surface inspection of annular devices,the current study takes the annular metal-coated ceramics as the research object and proposes a surface inspection method based on machine vision.The proposed method uses Canny edge detection and Hough transform to quickly locate concentric circles,and then extracts metal-coated areas.In order to convert polar coordinates to rectangular coordinates,the radial projection method is used to convert the ring-shaped metal coating map to a rectangular shape.Finally,the area and perimeter of the connected domain are analyzed to determine whether the circular ceramic metal coating has defects.The experimental results show that the detection accuracy of the algorithm is 98%for samples with a defect area greater than 0.5 mm×0.5 mm.

关 键 词：环形器件表面 机器视觉 边缘检测 HOUGH变换 缺陷检测 径向投影 坐标转换 检测系统 

分 类 号：TP242.62[自动化与计算机技术—检测技术与自动化装置]