DocumentCode :
3494642
Title :
Discrete curvature calculation for fast level set segmentation
Author :
Kybic, Jan ; Krátký, Jakub
Author_Institution :
Dept. of Cybern., Czech Tech. Univ., Prague, Czech Republic
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3017
Lastpage :
3020
Abstract :
Fast level set methods replace continuous PDEs by a discrete formulation, improving the execution times. The regularization in fast level set methods was so far handled indirectly via level set function smoothing. We propose to incorporate standard curvature based regularization into fast level set methods and address the problem of efficiently estimating local curvature of a discretized interface in 2D or 3D based on local partial volume. We present two algorithms for incremental partial volume evaluation: the first is recommended for moderate neighborhood sizes, the second has an excellent asymptotic complexity and can be useful for very large neighborhoods. The performance of the proposed methods is compared experimentally with previous approaches.
Keywords :
curve fitting; image segmentation; asymptotic complexity; curvature based regularization; discrete curvature calculation; discrete formulation; discretized interface; fast level set methods; fast level set segmentation; incremental partial volume evaluation; level set function smoothing; Computational complexity; Convolution; Cybernetics; Image segmentation; Iterative methods; Level set; Parametric statistics; Partial differential equations; Smoothing methods; Topology; Image segmentation; curvature estimation; level sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414453
Filename :
5414453
Link To Document :
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