• DocumentCode
    3414036
  • Title

    A real-time and robust multi-circle detection method based on randomized Hough transform

  • Author

    Huadong Sun ; Yaobin Mao ; Ningjian Yang ; Dian Zhu

  • Author_Institution
    Dept. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2012
  • fDate
    24-26 Aug. 2012
  • Firstpage
    175
  • Lastpage
    180
  • Abstract
    A real-time and robust multi-circle detection method based on randomized Hough transform (RHT) was proposed in this paper. In the method, circle detection is done by the RHT method in each connected component like [9]. We change the points sampling strategy of RHT to increase the hitting probability. To enhance the robustness, we do circle detection using the RHT method at local areas which possibly contain circles at the last step of our method. Performance analysis of the original RHT as well as our method is given, and a way to estimate sample threshold under certain detection confidence is introduced. Experiment results demonstrate that our method is much faster and more robust than the standard RHT method and can meet the requirement of real-time circle detection application.
  • Keywords
    Hough transforms; computer vision; probability; real-time systems; RHT; computer vision; hitting probability; randomized Hough transform; real-time circle detection application; robust multicircle detection method; multi-circle detection; randomized Hough transform (RHT)component; real-time; robust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Processing (CSIP), 2012 International Conference on
  • Conference_Location
    Xi´an, Shaanxi
  • Print_ISBN
    978-1-4673-1410-7
  • Type

    conf

  • DOI
    10.1109/CSIP.2012.6308823
  • Filename
    6308823