• DocumentCode
    496372
  • Title

    A 1-D RHT Method Based on Symmetry Point Searching Used in Ellipse Detection

  • Author

    Yu, Haibin ; Liu, Yuanyuan ; Chen, Keming

  • Author_Institution
    Coll. of Electron. & Inf., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    902
  • Lastpage
    904
  • Abstract
    A 1-D RHT method based on symmetry point searching for ellipse detection is presented in this paper. In this method, three undetermined parameters of the candidate ellipse would be determined by two axisymmetric points and one central symmetry point. The acquisition of the group of symmetric points mentioned above could complete the ellipse detection by using only one dimension accumulation array in parameter space and the demand of the integrity of the ellipse could be largely reduced because of the high possibility of the existence of the group of symmetric points. In addition, the effect of the distortion on the validation of the candidate ellipses would be effectively overcome by the introduction of the validation method based on the ellipse generation and dilation matching.
  • Keywords
    Hough transforms; computational geometry; image matching; object detection; 1D randomized Hough transform method; axial symmetry properly; central symmetry properly; dilation matching; ellipse detection; ellipse generation; ellipse object image; one dimension accumulation array; symmetry point searching; Data mining; Educational institutions; Image sampling; Laboratories; Noise robustness; Optimization methods; Parameter estimation; Sampling methods; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.406
  • Filename
    5193839