• DocumentCode
    2500284
  • Title

    Automatic measurement of the mechanical part based on binocular stereo vision

  • Author

    Guo, Jin ; Liu, Xianyong ; Chen, Xiaoning

  • Author_Institution
    Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8487
  • Lastpage
    8491
  • Abstract
    Based on binocular stereo vision, a method which can automatically measure the distance between two holes on the mechanical part was proposed in order to improve the precision of the traditional measurement. Binocular vision sensor was calibrated; the edge of mechanical part was measured by using canny operator, the region of the hole was recognised by the function, the targets center was detected by using least square fitting method; the automatic stereo matching between two images was come true by the epipolar-slope constraint; the 3D coordinate of each hole was reconstructed and the distance was calculated. The experimental results proves that the measurement of the distance is high accurate, the system error is less than 0.06 mm, which can reach the requirement of online measurement precision.
  • Keywords
    computerised instrumentation; distance measurement; image matching; image sensors; least squares approximations; stereo image processing; automatic stereo matching; binocular stereo vision; binocular vision sensor; canny operator; epipolar-slope constraint; least square fitting method; mechanical part automatic measurement; Coordinate measuring machines; Image edge detection; Image recognition; Image sensors; Least squares methods; Mechanical sensors; Mechanical variables measurement; Stereo image processing; Stereo vision; Target recognition; binocular stereo vision; calibration; canny; epipolar-slope; least square fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594260
  • Filename
    4594260