表面技术Issue(5)：109-112,4.
基于模式识别的零件表面瑕疵图像提取的设计与实现
Design and Realization for Extraction of Defect Image on the Surface of Spare Parts Based on Pattern Recognition
摘要
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 vision, which used image processing and pattern matching method to realize the extraction of defect image on the surface of spare parts, prepared for the treatment of defects on the surface of spare parts and attained the goal for rapid detection of many processing parts and surface quality.关键词
表面瑕疵/模式识别/图像预处理/图像提取Key words
defects on the surface/pattern recognition/pretreatment of image/image extraction分类
矿业与冶金引用本文复制引用
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):109-112,4.基金项目
重庆市教委科学技术研究项目资助(KJ090728) （KJ090728）
