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

Journal Article


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.

Authors


  •   Song, Limei (external author)
  •   Li, Dingping (external author)
  •   Qin, M C. (external author)
  •   Li, Zongyan (external author)
  •   Chang, Yulan (external author)
  •   Xi, Jiangtao

Publication Date


  • 2014

Citation


  • L. Song, D. Li, M. Qin, Z. Li, Y. Chang & J. Xi, "Research on high-precision hole measurement based on robot vision method," Optoelectronics Letters, vol. 10, (5) pp. 378-382, 2014.

Scopus Eid


  • 2-s2.0-84906763802

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3347

Number Of Pages


  • 4

Start Page


  • 378

End Page


  • 382

Volume


  • 10

Issue


  • 5

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.

Authors


  •   Song, Limei (external author)
  •   Li, Dingping (external author)
  •   Qin, M C. (external author)
  •   Li, Zongyan (external author)
  •   Chang, Yulan (external author)
  •   Xi, Jiangtao

Publication Date


  • 2014

Citation


  • L. Song, D. Li, M. Qin, Z. Li, Y. Chang & J. Xi, "Research on high-precision hole measurement based on robot vision method," Optoelectronics Letters, vol. 10, (5) pp. 378-382, 2014.

Scopus Eid


  • 2-s2.0-84906763802

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3347

Number Of Pages


  • 4

Start Page


  • 378

End Page


  • 382

Volume


  • 10

Issue


  • 5