Machine Vision Based Automatic Measurement Algorithm of Concentricity for Large Size Mechanical Parts

2017 International Conference on Control Engineering and Artificial Intelligence

计算机科学

Shim, Jae Hong^1 ; Nam, Tae Hyeon^2

Department of Mechatronics Engineering, Korea Polytechnic University, Siheung-city, Gyeonggi-do

15073, Korea, Republic of^1

Department of Mechatronics Engineering, Graduate School, Korea Polytechnic University, Siheung-city, Gyeonggi-do

15073, Korea, Republic of^2

关键词: Accurate calculations;    Automatic measurements;    Machine vision technologies;    Measuring equipments;    Measuring method;    Measuring process;    Mechanical parts;    Pre-processing;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/806/1/012002/pdf
DOI  :  10.1088/1742-6596/806/1/012002

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In this paper, we proposed an algorithm of automatic measurement of concentricity for large size mechanical parts using machine vision technology. The proposed measuring method consists of the pre-processing and the measuring process. In the pre-processing process, we proposed a method for improving the image quality for accurate calculation. And in the measuring process, we proposed an efficient algorithm of concentricity measurement. Through a series of experiments, the proposed algorithm showed successfully the effectiveness of automatic measurement of concentricity for large size mechanical parts without using any additional measuring equipment.