• DocumentCode
    1303128
  • Title

    Consistent symmetric axis method for robust detection of ellipses

  • Author

    Sheu, H.-T. ; Chen, H.-Y. ; Hu, W.-C.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
  • Volume
    144
  • Issue
    6
  • fYear
    1997
  • fDate
    12/1/1997 12:00:00 AM
  • Firstpage
    332
  • Lastpage
    338
  • Abstract
    Ellipse detection is an interesting issue in machine vision researches and many approaches have been suggested to determine the parameters. Recently, a symmetric axis method has been proposed to determine the centre of an ellipse, but other parameters are determined otherwise. A consistent symmetric axis method is proposed that utilises the information inherent in the symmetric axes throughout the entire process to compute all of the parameters. A closed-form solution is obtained, hence the calculation of the parameters is fast. In addition, since the determination of the symmetric axes involves a set of points on the ellipse, the procedure is robust. Experiments with disjoint ellipses, interacting ellipses, defective ellipses and real objects indicate the effectiveness of the proposed method both theoretically and practically
  • Keywords
    Hough transforms; computer vision; image recognition; object detection; Hough transform; closed-form solution; consistent symmetric axis method; defective ellipses; disjoint ellipses; ellipses robust detection; interacting ellipses; machine vision; real objects;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19971525
  • Filename
    655601