• DocumentCode
    3110779
  • Title

    Skeletonize multi width ribbon-like shapes based on difference images and frenet frame

  • Author

    Liao, Z.W. ; Wang, Z.S. ; Hu, S.X.

  • Author_Institution
    Fac. of Comput. Sci., Sichuan Normal Univ., Chengdu
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    840
  • Lastpage
    844
  • Abstract
    In this paper, we propose a novel skeletonize method for multi width ribbon-like shapes. The two difference images with vertical and horizontal directions respectively are computed to locate the singularities of the original image. Then the gradient directions of these singularity points are computed. The skeletonization can be obtained by finding the centers of via pair wise singularity points using their gradient directions. The most attracting nature of this method is that it can handle multi width shapes, which is very difficult in conventional methods. The experimental results show that our method is a ldquogoodrdquo method closing to human conception.
  • Keywords
    gradient methods; image thinning; difference images; frenet frame; gradient directions; pair wise singularity points; skeletonization; skeletonize method; skeletonize multiwidth ribbon-like shapes; Automation; Computer science; Humans; Image analysis; Image segmentation; Noise shaping; Optical character recognition software; Pattern recognition; Shape; Skeleton; Difference Image; Frenet Frame; Gradient; Singularity Detection; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811384
  • Filename
    4811384