• DocumentCode
    2465113
  • Title

    Segmentation as a Riemannian drum problem

  • Author

    Shah, Jayant

  • Author_Institution
    Dept. of Math., Northeastern Univ., Boston, MA, USA
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    766
  • Abstract
    In this paper, the segmentation problem is formulated as a problem of segmenting a Riemannian manifold. The image domain is endowed with an anisotropic metric and its segmentation is obtained by thresholding the second eigenvector of the Laplace-Beltrami operator on the Riemannian manifold so defined. The formulation is an analytic analog of a recently proposed approach to segmentation based on graph theory. However, the analytic formulation has built-in invariance properties and permits more general metrics. The formulation may also be viewed as a generalization of the method of curve evolution which is based on isotropic metrics
  • Keywords
    eigenvalues and eigenfunctions; image segmentation; mathematical operators; Laplace-Beltrami operator; Riemannian drum problem; Riemannian manifold; analytic formulation; anisotropic metric; built-in invariance properties; image domain; image segmentation; method of curve evolution; second eigenvector thresholding; Biomembranes; Eigenvalues and eigenfunctions; Graph theory; Image segmentation; Iterative algorithms; Laplace equations; Mathematics; Object detection; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.999061
  • Filename
    999061