• DocumentCode
    3058999
  • Title

    The Measurement of Abrasive Wear Based on Computer Vision

  • Author

    Zhang, Xiaofeng ; Wan, Bin ; Zeng, Jiexian

  • Author_Institution
    Sch. of Comput., Nanchang Hangkong Univ., Nanchang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    22-24 May 2009
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    To measure the height and wear of the diamond abrasive, a new technique based on computer vision is presented in this paper. Firstly, the computer vision system is designed. The height evaluation of abrasives and the calibration of the imaging set-up are introduced in detail. Secondly, we adopt the sequential similarity detection algorithm to get corresponding pixels in the left and right image. Finally, the heights and wear of the grain are obtained by calculating their parallax on left and right images. The experiment of standard block shows that the relative error is less than 5%.
  • Keywords
    abrasion; computer vision; mechanical engineering computing; abrasive wear measurement; computer vision; diamond abrasive; sequential similarity detection algorithm; Abrasives; Calibration; Cameras; Computer vision; Electronic commerce; Measurement standards; Microscopy; Pixel; Stereo vision; Wheels; computer vision; height; monolayer grinding wheel; wear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3643-9
  • Type

    conf

  • DOI
    10.1109/ISECS.2009.204
  • Filename
    5209880