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机器视觉在工业测量中的应用与研究

Applications of machine vision in industry inspection and its research

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【作者】 张业鹏何涛文昌俊杨银才沈邦兴

【Author】 ZHANG Ye-peng, HE Tao, WEN Chang-jun, YANG Yin-cai, SHEN Bang-xing (Department of Mechanical Engineering, Hubei Polytechnic University, Wuhan ,430068, China)

【机构】 湖北工学院机械工程系湖北工学院机械工程系 湖北武汉430068湖北武汉430068湖北武汉430068

【摘要】 基于普通双目视觉测量模型,针对视觉测量系统的关键技术──标定、特征提取、特征匹配,提出了一种实用的高精度摄像机标定方法,基于“多对一”的思想,讨论了一种改进的Hough变换方法;由外极约束理论,提出了一种基于角点的外极斜率特征匹配方法。实验证明.该方法能成功的应用于复杂零件的测量。

【Abstract】 Based on a model of machine vision technique, the paper puts forward a method of high accuracy camera calibration for the system of machine vision inspection. Key techniques in this system include the camera calibr- tion, curve inspection and feature matching, etc. According to thesis of "form much to one", the paper discusses an improved method of Hough transform. In light of the theory of constrain, it also gives a method of feature match -ing. These methods have been proved by corresponding experiments, and some of them have been successfully uti- lized in the inspection of complex industrial parts.

【基金】 武汉市科委重点科研课题
  • 【文献出处】 光学精密工程 ,Optics and Precision Engineering , 编辑部邮箱 ,2001年04期
  • 【分类号】TP274
  • 【被引频次】109
  • 【下载频次】810
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