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International Conference on Computer Graphics, Imaging and Visualization (CGIV'05)
An Active Contour Model for Selective Segmentation
Beijing, China
July 26-July 29
ISBN: 0-7695-2392-7
Wenyuan Wang, Institute of Applied Physics and Computational Mathematics
In this paper, we develop a new active contour model for image selective segmentation. The model adopts cascade anisotropic diffusion preprocessing and a selective term in level set function. Cascade anisotropic diffusion filtering is powerful and flexible to enhance image for various segmentation tasks. The selective term in level set function can evolve a single curve to capture a selective segmentation region which we are interested in. This is useful for intentional segmentation tasks. We can also realize the multi-region segmentation by varying selecting term conditions. Furthermore, we saliently speed the process of the new algorithm by using AOS scheme in cascade anisotropic diffusion filtering and discarding mean curvature motion in level set function. We illustrate the performance of our segmentation method on images generated by different modalities.
Citation:
Wenyuan Wang, "An Active Contour Model for Selective Segmentation," cgiv, pp.111-116, International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005
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