D.T. Vu, J.Y. Kim, S.H. Choi, and S.Y. Na (Korea)
Generalized Chan-Vese model, region-based active contour, level set method, image segmentation, local information
In this paper we propose a modified region-based active contour model by integrating the local information of foreground region into Chan-Vese model. By adding a local fitting term into the conventional energy function, our model is able to overcome two limitations of the previous region-based level set methods: high sensitivity to the location of initial contours and inability to segment multiple objects. We will show the advantages of our method compared with other major level set-based techniques in terms of both efficiency and accuracy by segmentation experiments.
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