A fast level set-like algorithm for region-based active contours

Authors:
Martin Maška;Pavel Matula;Ondřej Daněk;Michal Kozubek
Affiliations:
Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Year:
2010

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Abstract

Implicit active contours are widely employed in image processing and related areas. Their implementation using the level set framework brings several advantages over parametric snakes. In particular, a parameterization independence, topological flexibility, and straightforward extension into higher dimensions have led to their popularity. On the other hand, a numerical solution of associated partial differential equations (PDEs) is very time-consuming, especially for large 3D images. In this paper, we modify a fast level set-like algorithm by Nilsson and Heyden [14] intended for tracking gradient-based active contours in order to obtain a fast algorithm for tracking region-based active contours driven by the Chan-Vese model. The potential of the proposed algorithm and its comparison with two other fast methods minimizing the Chan-Vese model are demonstrated on both synthetic and real image data.