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Published in:
2010 | OriginalPaper | Chapter
A Fast Level Set-Like Algorithm for Region-Based Active Contours
Authors : Martin Maška, Pavel Matula, Ondřej Daněk, Michal Kozubek
Published in: Advances in Visual Computing
Publisher: Springer Berlin Heidelberg
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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.