• DocumentCode
    2727427
  • Title

    A novel Hough transform for curve detection

  • Author

    Wu, Paul S. ; Li, Ming

  • Author_Institution
    Dept. of Manuf. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
  • Volume
    4
  • fYear
    1996
  • fDate
    14-17 Oct 1996
  • Firstpage
    2722
  • Abstract
    A novel dynamic Hough transform is introduced as a computationally efficient way of implementing the Hough transform for detecting two dimensional curves with arbitrary shapes. Neither prior knowledge nor analytical nature of the curve are necessary. This method uses binary pyramid structure to alleviate computational complexity. Any arbitrary edge line is approximated by an analytical function based on a rational Gaussian. The parameters of the function and the accumulated area are determined adaptively by the set of accumulated points. The densities of points in the accumulators an examined. The peak accumulation determines the existence of an edge curve and the location of it. At the end of the paper, experimental results of this method related to the palm image is presented
  • Keywords
    Hough transforms; computational complexity; image recognition; arbitrary shapes; binary pyramid structure; computational complexity; curve detection; dynamic Hough transform; edge line; palm image; rational Gaussian; two dimensional curves; Application software; Computational complexity; Computational efficiency; Computer aided manufacturing; Computer vision; Image edge detection; Image recognition; Noise shaping; Shape; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1996., IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-3280-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.1996.561370
  • Filename
    561370