• DocumentCode
    2928193
  • Title

    Fast detection of ellipses using chord bisectors

  • Author

    Chan, Raymond ; Siu, Wan-Chi

  • Author_Institution
    Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    2201
  • Abstract
    The horizontal and vertical chord bisectors of objects are used to detect elliptic objects in a binary image. In 3-D applications, a circular plane viewed from different viewing angles will always be projected as a pseudoellipse. Hence, the detection of ellipses, which are parameterized with five parameters (namely x0, y0, a, b and θ), is much more general and useful for both 2-D and 3-D image recognition tasks. For any general ellipse, the loci of its chord bisectors and chord lengths possess various properties which can be utilized to extract the center (0, y0) and to facilitate discrimination of elliptic objects from others. Different pairs of parallel strips are used to calculate the hypothesized values of two newly defined parameters of an ellipse. The statistical modes for these two parameters are extracted for the computation of the remaining parameters θ, a, and b . This two-stage algorithm is fast due to the fact that locating bisecting points solves only very simple additions and shifting operations, and the second stage involves very few computations for each object
  • Keywords
    picture processing; signal detection; 3-D applications; binary image; chord bisectors; chord lengths; circular plane; ellipses detection; image recognition; loci; statistical modes; viewing angles; Costs; Data mining; Image edge detection; Image recognition; Least mean squares methods; Object detection; Robustness; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.115997
  • Filename
    115997