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
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