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Research on high-precision hole measurement based on robot vision method

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Abstract

A high-precision vision detection and measurement system using mobile robot is established for the industry field detection of motorcycle frame hole and its diameter measurement. The robot path planning method is researched, and the non-contact measurement method with high precision based on visual digital image edge extraction and hole spatial circle fitting is presented. The Canny operator is used to extract the edge of captured image, the Lagrange interpolation algorithm is utilized to determine the missing image edge points and calculate the centroid, and the least squares fitting method is adopted to fit the image edge points. Experimental results show that the system can be used for the high-precision real-time measurement of hole on motorcycle frame. The absolute standard deviation of the proposed method is 0.026 7 mm. The proposed method can not only improve the measurement speed and precision, but also reduce the measurement error.

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Authors and Affiliations

  1. Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin, 300387, China

    Li-mei Song  (宋丽梅), Da-peng Li  (李大鹏), Ming-cui Qin  (覃名翠), Zong-yan Li  (李宗艳) & Yu-lan Chang  (常玉兰)

  2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Keiraville, 2500, Australia

    Jiang-tao Xi  (习江涛)

Authors
  1. Li-mei Song  (宋丽梅)
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  2. Da-peng Li  (李大鹏)
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  3. Ming-cui Qin  (覃名翠)
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  4. Zong-yan Li  (李宗艳)
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  5. Yu-lan Chang  (常玉兰)
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  6. Jiang-tao Xi  (习江涛)
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Corresponding author

Correspondence to Li-mei Song  (宋丽梅).

Additional information

This work has been supported by the National Natural Science Foundation of China (Nos.60808020 and 61078041), and the Tianjin Research Program of Application Foundation and Advanced Technology (No.10JCYBJC07200).

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Song, Lm., Li, Dp., Qin, Mc. et al. Research on high-precision hole measurement based on robot vision method. Optoelectron. Lett. 10, 378–382 (2014). https://doi.org/10.1007/s11801-014-4091-x

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  • DOI: https://doi.org/10.1007/s11801-014-4091-x

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