• DocumentCode
    3481585
  • Title

    Object recognition algorithm research based on variable illumination

  • Author

    Ren Honge ; Zhong Qiubo ; Kang Junfeng

  • Author_Institution
    Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1609
  • Lastpage
    1613
  • Abstract
    Vision system is the critical component for soccer robot. During the football competition, most information perceived by robot is from vision system. Because of the variable illumination conditions, traditional image segmentation method based on color information is not satisfactory. An object recognition algorithm, which combined color image segmentation with edge detection is presented in this paper based on the color information and shape information of the object. This algorithm implement image segmentation using color information in the HSV color space obtain the pixel of the object, and use this pixel implement edge detection to recognize the object. Experiments show that this algorithm can recognize the object exactly in the different illumination conditions, satisfy the requirement of the competition.
  • Keywords
    edge detection; image colour analysis; image segmentation; object recognition; robot vision; shape recognition; color image segmentation; edge detection; football competition; object recognition algorithm research; shape information; soccer robot; variable illumination condition; vision system; Color; Image edge detection; Image recognition; Image segmentation; Lighting; Machine vision; Object recognition; Pixel; Robot vision systems; Shape; HSV; Image process; Robot vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262717
  • Filename
    5262717