• DocumentCode
    3149055
  • Title

    EDCircles: Real-time circle detection by Edge Drawing (ED)

  • Author

    Akinlar, Cuneyt ; Topal, Cihan

  • Author_Institution
    Comput. Eng. Dept., Anadolu Univ., Eskisehir, Turkey
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1309
  • Lastpage
    1312
  • Abstract
    We propose a real-time, parameter-free circle detection algorithm that produces accurate results with very few false positives. The algorithm makes use of the contiguous (connected) set of edge segments produced by our novel edge segment detector, the Edge Drawing (ED) algorithm; hence the name EDCircles. The proposed algorithm first fits line segments to ED´s edge segments and then processes these line segments to detect circles in a given image. We show through experimentation that EDCircles works real-time, produces good results, and is very suitable for the next generation real-time automation applications including automatic inspection of manufactured products, human eye iris and pupil detection, circular traffic sign detection, etc.
  • Keywords
    edge detection; image segmentation; ED algorithm; EDcircles; circular traffic sign detection; edge drawing algorithm; edge segment detector; human eye iris detection; line segments; manufactured product automatic inspection; next generation real-time automation applications; parameter-free circle detection algorithm; pupil detection; real-time circle detection; real-time circle detection algorithm; Decision support systems; Circular Traffic Sign Detection; EDLines; Edge Drawing Algorithm; Eye Pupil Detection; Real-Time Circle Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288130
  • Filename
    6288130