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Segmentation on surfaces with the closest point method

Abstract:

We propose a method to detect objects and patterns in textures on general surfaces. Our approach applies the Chan-Vese variational model for active contours without edges to the problem of segmentation of scalar surface data. This leads to gradient descent equations which are level set equations on surfaces. These equations are evolved using the Closest Point Method, which is a recent technique for solving partial differential equations (PDEs) on surfaces. The final algorithm has a particular...

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Publisher copy:
10.1109/ICIP.2009.5414447

Authors


Publisher:
IEEE Computer Society
Journal:
Proceedings - International Conference on Image Processing, ICIP
Pages:
3009-3012
Publication date:
2009-01-01
DOI:
ISSN:
1522-4880
URN:
uuid:fe2e3019-258b-4d63-ae70-813b7b90ef5f
Source identifiers:
190664
Local pid:
pubs:190664

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