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基于模式识别的零件表面瑕疵图像提取的设计与实现
引用本文:代小红,王光利.基于模式识别的零件表面瑕疵图像提取的设计与实现[J].表面技术,2011(5):109-112.
作者姓名:代小红  王光利
作者单位:重庆工商大学学术期刊社,重庆,400067;重庆邮电大学生物信息学院,重庆,400065
基金项目:重庆市教委科学技术研究项目资助(KJ090728)
摘    要:针对精密零件表面瑕疵处理问题,将计算机视觉技术用于精密零件表面瑕疵图像的提取和分析,提高了生产中机械零件自动识别的实时性和分拣的准确率,并结合嵌入式系统进行控制。设计了一个基于机器视觉的零件表面瑕疵图像自动识别系统,采用图像处理及模式匹配的方法,实现了零件表面瑕疵图像的提取,为零件表面瑕疵的处理做好了准备工作,达到了对许多加工件和产品表面质量进行快速检测的目的。

关 键 词:表面瑕疵  模式识别  图像预处理  图像提取

Design and Realization for Extraction of Defect Image on the Surface of Spare Parts Based on Pattern Recognition
DAI Xiao-hong,WANG Guang-li.Design and Realization for Extraction of Defect Image on the Surface of Spare Parts Based on Pattern Recognition[J].Surface Technology,2011(5):109-112.
Authors:DAI Xiao-hong  WANG Guang-li
Affiliation:DAI Xiao-hong1,WANG Guang-li2(1.Academic Periodical Office,Chongqing Technology and Business University,Chongqing 400067,China,2.School of Bioinformation,Chongqing University of Posts and Telecommunication,Chongqing 400065,China)
Abstract:According to the problems in the treatment of the defects on the surface of precise spare parts,computer visual technique was used to extract and analyze the defect image on the surface of precise spare parts,which improved the real-time automatic recognition of mechanical spare parts in production and the accuracy of the distinguishing,and imbedded-style system was combined for controlling.This paper designed an automatic recognition system for defect image on the surface of spare parts based on machine vi...
Keywords:defects on the surface  pattern recognition  pretreatment of image  image extraction  
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