• DocumentCode
    2791595
  • Title

    Image processing algorithm of weld seam based on crawling robot By Binocular Vision

  • Author

    Qin, Jia ; Ma, Guohong ; Liu, Pei

  • Author_Institution
    Mechatron. Coll., NanChang Univ., Nanchang, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    337
  • Lastpage
    340
  • Abstract
    By Binocular Vision way, this paper aimed to research welding image process of weld seam based on crawling robot. It built a developed suitable tracking control policy and software flatform. Some filters have been studied, such as mean filter, median filter, homomorphic filter. A cascade algorithm composed by medium value filter and homomorphic filter was used to welding image de-noising, which had been proved effective. Besides, an adaptive threshold arithmetic for segmented image was put forward, which had a good robustness, namely cascade OTSU(Maximum Classes Square Error). Al-alloy butter plate welding experiment proved that welding torch could track seam well.
  • Keywords
    image denoising; median filters; mobile robots; robot vision; tracking; welding; binocular vision; butter plate welding; cascade OTSU; cascade algorithm; crawling robot; homomorphic filter; image de-noising; image processing; maximum classes square error; medium value filter; software flatform; threshold arithmetic; tracking control; weld seam; Filtering algorithms; Image edge detection; Image segmentation; Maximum likelihood detection; Nonlinear filters; Robots; Welding; filter; image processing; threshold; welding seam tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5986927
  • Filename
    5986927