Research on Parts Measurement Method Based on Machine Vision

Jun Zhang, Shuhua Wang and Zhengling Yang
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Jun Zhang: School of Electrical Engineering and Automation, Tianjin University, Tianjin, China
Shuhua Wang: School of Electrical Engineering and Automation, Tianjin University, Tianjin, China
Zhengling Yang: School of Electrical Engineering and Automation, Tianjin University, Tianjin, China

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2013, vol. 5, issue 3, 38-46

Abstract: This paper has described the measurement method of the phone slot on the assembly line. The method is based on computer vision. After reducing the effect of noise through fast median method, the authors locate the target area. Thus the authors extract the target area. The authors have proposed an edge detection algorithm based on the improved canny operator. The authors also have put forward the linear fitting method based on RHT-LSM and then the authors delete the straight line whose slope is greater than the given threshold. Therefore the authors can find the corresponding angular point coordinates. Then the authors have compared the semi-circular data of the slots ends and find the points whose tangent line’s slop are biggest. These points are absolutely tin the leftmost and in the rightmost. Thus the authors have got the length and the width of the image in the coordinate system. Then the authors can get the camera’s internal parameters and external parameters after the camera calibration. The practice shows that the system is feasible and it has high use value.

Date: 2013
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