• DocumentCode
    442500
  • Title

    Robust skeletonization using the fast marching method

  • Author

    Hassouna, M. Sabry ; Farag, A.A.

  • Author_Institution
    Comput. Vision & Image Process. Lab., Louisville Univ., KY, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    We have recently developed a level set based-framework for computing medial curves or curve skeletons CS for arbitrary 2D shapes as well as tubular and articulated 3D objects. The proposed framework is robust, fully automatic, computationally efficient, and produces curve skeletons that are connected, centered, thin, and less sensitive to boundary noise. In this paper, we introduce two improvements to the framework in order to enhance its performance in terms of stability and topology preserving.
  • Keywords
    signal processing; curve skeletons; fast marching method; skeletonization; Computer vision; Cost function; Image processing; Level set; Partial differential equations; Robustness; Shape; Skeleton; Stability; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1529781
  • Filename
    1529781