• DocumentCode
    3166906
  • Title

    Achieving a More Accurate Skeleton through the Refinement of Skeletonization Triangles

  • Author

    Morrison, Paul ; Zou, Ju Jia

  • Author_Institution
    University of Western Sydney
  • fYear
    205
  • fDate
    6-8 Dec. 205
  • Firstpage
    49
  • Lastpage
    49
  • Abstract
    Skeletonization using the Constrained Delaunay Triangulation technique has proven very effective, with respect to efficiency, accuracy and robustness against noise. This paper presents three algorithms that further improve this successful skeletonization method. Each of the three algorithms presented here deals with the refinement of the three types of triangles produced by triangulation, namely end triangles, normal triangles and junction triangles. Results show that these algorithms produce a skeleton that complies much better to a human’s perception of the underlying image, without detracting from the superior efficiency inherent in the original triangulation method.
  • Keywords
    Australia; Design engineering; Feature extraction; Image processing; Noise robustness; Refining; Shape; Skeleton; Topology; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005
  • Conference_Location
    Queensland, Australia
  • Print_ISBN
    0-7695-2467-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2005.10
  • Filename
    1587651