• DocumentCode
    3746533
  • Title

    Non-contact dimension measurement of mechanical parts based on image processing

  • Author

    Yun Feng Li;Xi Xi Han;Sheng Yang Li

  • Author_Institution
    School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang Henan, China
  • fYear
    2015
  • Firstpage
    974
  • Lastpage
    978
  • Abstract
    Aiming at the problems that mechanical parts are mass produced in industrial production, and the workload of traditional manual measurement is heavy, the measurement efficiency is low, an online non-contact measurement system based on image processing and machine vision technology is presented. The hardware of the measurement system includes light source, lens, camera and computer, the measurement system adopts transmitted illumination to highlight the contour feature of mechanical parts. Preprocessing is firstly performed to the captured image by the software of the measurement system, then threshold segmentation and the edge contour extraction are conducted; finally, in order to improve the detection precision of the geometric elements, a method to locate the center of circles accurately is adopted, which based on Hough transform algorithm. The results show the validity of the method and the feasibility of the algorithm in the system, it improves the efficiency of the measurement system and realizes the non-contact online measurement of mechanical parts.
  • Keywords
    "Mechanical variables measurement","Machine vision","Transforms","Software measurement","Image edge detection","Cameras"
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2015 8th International Congress on
  • Type

    conf

  • DOI
    10.1109/CISP.2015.7408020
  • Filename
    7408020