JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (4): 77-82.doi: 10.6040/j.issn.1672-3961.0.2017.064

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Algorithm and error analysis of tool geometric parameters detection based on machine vision

HOU Qiulin1,2, SUN Jie1,2*, HUANG Panling1,2, SUN Chao3, MOU Wenping3   

  1. HOU Qiulin1, 2, SUN Jie1, 2*, HUANG Panling1, 2, SUN Chao3, MOU Wenping3(1.School of Mechanical Engineering, Shandong University, Jinan 250061, Shandong, China;
    2.Key Laboratory of High Efficiency and Clean Mechanical of MOE, Shandong University, Jinan 250061, Shandong, China;
    3. Chengdu Aircraft Industrial(Group)Co., Ltd., Chengdu 610092, Sichuan, China
  • Received:2017-03-14 Online:2017-08-20 Published:2017-03-14

Abstract: A bounding rectangle algorithm of connected component was investigated for measuring tool geometrical parameters. An in-position detection system for measuring tool geometrical parameters was developed based on machine vision, which were to solve the problem of wrong tool because of tools’ change frequently in NC machining process of aeronautical monolithic components. The system was carried out by means of using industrial cameras, dual-telephoto lens and others to collect tool image, and using image processing software MATLAB to have image pretreatment including grayscale transformation and binarization. The processes of connected component labeling algorithm and bounding rectangle algorithm were analyzed. The results showed that diameter error was less than 0.01 mm and hanging length error was less than 0.08 mm in the in-position detection system for measuring tool geometrical parameters based on machine vision. The system had a high response speed, high measuring accuracy and anti-noise performance.

Key words: connected component, tool geometrical parameters, error analysis, machine vision, bounding rectangle

CLC Number: 

  • TG71
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