A Mechanical Part Sorting Method Based on Fast Template Matching

被引:0
作者
Wang, Yi-Fan [1 ]
Chen, Hao-dong [1 ]
Zhao, Kangren [1 ]
Zhao, Ping [1 ]
机构
[1] Hefei Univ Technol, Sch Mech Engn, Hefei, Anhui, Peoples R China
来源
2018 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA) | 2018年
基金
美国国家科学基金会;
关键词
mechanical part sorting; template matching; path planning; machine vision;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a method of part sorting based on fast template matching is proposed. This method accelerates the process of part recognition by improving the template matching method. Thus, the efficiency of the part sorting system based on machine vision is improved, and the effect is outstanding in the case of a wide variety of parts. First, the image of target parts is preprocessed and segmented into multiple sub images containing only one part. Then, a shape feature vector and a similarity measure function are defined to match the target part sub images with the template part images. Finally, the target parts are located and the path of the sorting is planned. The result of simulation experiment in MATLAB shows that the method proposed in this paper not only has high accuracy and stability, but also meets the requirements of rapidity.
引用
收藏
页码:135 / 140
页数:6
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