• DocumentCode
    1849517
  • Title

    Algorithm of compensating loss of round color mark based on circle fitting

  • Author

    Zhou, Jun ; Li, Kui ; Wang, Ting-qi

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Hohai Univ., Jiangsu, China
  • Volume
    3
  • fYear
    2005
  • fDate
    2005
  • Firstpage
    1397
  • Abstract
    The color mark recognition is a key step in Mirosot, the recognizing results affect the orientation angle to a great extent. During the capturing process there are some loss of color mark because of the environmental disturbing light, which can lead to a big error by calculation. For the above phenomenon, a new algorithm is designed based on the LSM (least square method), in which a circle is adopted to approximate the edge of the color mark after the pretreatment of the image for extracting the edge of color mark, so as to detect the center and calculate the orientation angle. It has been proved the recognizing precision and the calculating speed can be improved greatly through the experiment.
  • Keywords
    edge detection; image colour analysis; least squares approximations; mobile robots; multi-robot systems; object recognition; robot vision; circle fitting; color mark recognition; edge extraction; least square method; robot soccer; round color mark; Buffer storage; Color; Educational institutions; Gravity; Image edge detection; Image storage; Least squares approximation; Least squares methods; Robot kinematics; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2005 IEEE International Conference
  • Conference_Location
    Niagara Falls, Ont., Canada
  • Print_ISBN
    0-7803-9044-X
  • Type

    conf

  • DOI
    10.1109/ICMA.2005.1626758
  • Filename
    1626758