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微小尺寸零件表面缺陷光学检测方法
引用本文:李晓舟,于化东,于占江,刘岩,许金凯.微小尺寸零件表面缺陷光学检测方法[J].兵工学报,2011,32(7):872-877.
作者姓名:李晓舟  于化东  于占江  刘岩  许金凯
作者单位:(1.长春理工大学 机电工程学院, 吉林 长春 130022;2.中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033)
摘    要:为实现微小尺寸零件表面缺陷的快速精确检验,对微小尺寸零件表面缺陷光学检测技术进行了研究.以典型微小尺寸环形零件为研究对象,从零件的表面特征、缺陷类型及检测算法出发,建立了基于机器视觉的微小尺寸零件表面缺陷光学检测系统;通过对微小尺寸环形零件表面缺陷纹理特征研究,提出图像梯度方差加权信息熵算法抑制表面随机纹理,提取微观表...

关 键 词:信息处理技术  微小尺寸零件  表面缺陷检测  图像识别  机器视觉

Optical Inspection Method for Surface Defects of Micro-components
LI Xiao-zhou,YU Hua-dong,YU Zhang-jiang,LIU Yan,XU Jin-kai.Optical Inspection Method for Surface Defects of Micro-components[J].Acta Armamentarii,2011,32(7):872-877.
Authors:LI Xiao-zhou  YU Hua-dong  YU Zhang-jiang  LIU Yan  XU Jin-kai
Affiliation:(1.School of Mechanical and Electrical Engineering,Changchun University of Science and Technology,Changchun 130022,Jilin,China;2. Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,Jilin,China)
Abstract:In order to realize the rapid precise detection for surface defects of micro-components,the optical detection technology was studied.Taking a typical micro ring component as object and considering its surface features and defect characteristics,an optical detection system was established on the basis of machine vision and pattern recognition.Through studies of the surface flaw texture in the component,an algorithm using weighted information entropy of image gradient variance was proposed to suppress the random surface texture,extract the flaws and detect the flaws in the micro-component.Experiment results show that the algorithm can effectively detect the flaws,and the recognition rate of the defect is about 96.5%.Also,the experiments verify its correctness,rapidity and preciseness.
Keywords:information processing  micro-component  surface defect detection  image recognition  machine vision
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