• DocumentCode
    2042377
  • Title

    Self-Affine Snake: A New Parametric Active Contour

  • Author

    Saadatmand-Tarzjan, M. ; Ghassemian, H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    492
  • Lastpage
    495
  • Abstract
    In this paper, a new active contour model called self-affine snake is proposed which integrates the self-affine mapping system (SAMS), wavelet transform, and snake model. It inherits wide capture range from the wavelet transform, both accurate fit to weak edges and effective reconstruction of boundary concavities from SAMS, and topological consistency from the snake model while avoiding their weak points. In self-affine snake, first, a force vector is computed for every pixel in each wavelet LL matrix using SAMS with disk domains. Then the obtained force fields of different wavelet scales are effectively combined to make the self-affine force filed. Finally, the snake is deformed using the resultant forces based on the snake dynamic formulation. Experiment results demonstrate good performance for self-affine snake compared to the balloon for a number of synthetic and biomedical benchmark images.
  • Keywords
    affine transforms; image processing; medical image processing; wavelet transforms; active contour model; biomedical benchmark images; parametric active contour; self-affine mapping system; self-affine snake; topological consistency; wavelet transform; Active contours; Biomedical signal processing; Elasticity; Fractals; Image analysis; Image reconstruction; Shape; Wavelet analysis; Wavelet domain; Wavelet transforms; Image shape analysis; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728363
  • Filename
    4728363