Affiliations: [a] Department of Mechanical and Electrical Engineering, Dongguan Polytechnic, Dongguan, Guangdong 523808, China | [b] School of Mechanical Science and Engineering of HUST, Wuhan, Hubei 430074, China
Correspondence:
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Corresponding author: Yufeng Shu, Department of Mechanical and Electrical Engineering, DongGuan Polytechnic, Dongguan, Guangdong 523808, China. E-mail: shuyf@dgpt.edu.cn.
Abstract: It is difficult to adapt to the actual situation of the production and testing of the rivets by examining the defects of low working efficiency and low accuracy. In order to solve this defect, through a series of research and analysis, it can be found that the non-contact automatic inspection method can solve the existing defects. The OSTU operation method is improved and used for the image segmentation of the rivets, which can reduce the error segmentation. In order to eliminate the uncertainty of the rivet position, the method of the least external rectangle method is obtained to determine the main shaft of the rivet. This approach reduces randomness at work. Through the study of rivet contour curvature method to analyze the characteristics of the part of the rivet contour, can better reduce in proportion of noise in the process of operation, and has a lot of improvement for accurate precision. Through experiment that this method of testing with high accuracy, errors generated during inspection situation is less, and less affected when testing can improve the efficiency of detection in industrial production, can well meet the demands of rivet real-time inspection.
Keywords: Rivet detection, machine vision, image segmentation, feature point identification
