A Novel Vision Localization Method of Automated Micro-Polishing Robot  

A Novel Vision Localization Method of Automated Micro-Polishing Robot

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作  者:Zhao-jun Yang, Fei Chen, Ji Zhao, Xiao-jie WuCollege of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China 

出  处:《Journal of Bionic Engineering》2009年第1期46-54,共9页仿生工程学报(英文版)

基  金:supported by the National High Technology Research and Development Program of China (Grant No. 2006AA04Z214);the National Natural Science Foundation of China (Grant No. 50575092)

摘  要:Based on photogrammetry technology,a novel localization method of micro-polishing robot,which is restricted within certain working space,is presented in this paper.On the basis of pinhole camera model,a new mathematical model of vision localization of automated polishing robot is established.The vision localization is based on the distance-constraints of feature points.The method to solve the mathematical model is discussed.According to the characteristics of gray image,an adaptive method of automatic threshold selection based on connected components is presented.The center coordinate of the feature image point is resolved by bilinear interpolation gray square weighted algorithm.Finally,the mathematical model of testing system is verified by global localization test.The experimental results show that the vision localization system in working space has high precision.Based on photogrammetry technology,a novel localization method of micro-polishing robot,which is restricted within certain working space,is presented in this paper.On the basis of pinhole camera model,a new mathematical model of vision localization of automated polishing robot is established.The vision localization is based on the distance-constraints of feature points.The method to solve the mathematical model is discussed.According to the characteristics of gray image,an adaptive method of automatic threshold selection based on connected components is presented.The center coordinate of the feature image point is resolved by bilinear interpolation gray square weighted algorithm.Finally,the mathematical model of testing system is verified by global localization test.The experimental results show that the vision localization system in working space has high precision.

关 键 词:micro-polishing robot vision localization threshold segmentation distance constraint 

分 类 号:TP242[自动化与计算机技术—检测技术与自动化装置]

 

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