• DocumentCode
    3584410
  • Title

    Ellipse detection using grouping of edgels into line-support regions

  • Author

    Kawaguchi, Tsuyoshi ; Nagata, Ryo-ichi

  • Author_Institution
    Dept. of Comput. Sci. & Intelligent Syst., Oita Univ., Japan
  • fYear
    1998
  • Firstpage
    70
  • Abstract
    In this paper we present a new algorithm to detect ellipses in an intensity image. The algorithm first extracts line-support regions from the original image. Next, candidates for elliptic arcs are selected from these line-support regions. In the proposed algorithm, each ellipse is defined by a triplet of line-support regions. And, using a genetic algorithm, the proposed algorithm searches for triplets of line-support regions that have the highest fitness to the image. By experiments using natural images, we estimate the performance of the proposed algorithm
  • Keywords
    edge detection; feature extraction; genetic algorithms; edgels; ellipse detection; elliptic arcs; genetic algorithm; grouping; intensity image; line-support regions; natural image; performance; Computer science; Computer vision; Extremities; Genetic algorithms; Image edge detection; Intelligent systems; Partitioning algorithms; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.727130
  • Filename
    727130