A convex active contour region-based model for image segmentation

Authors:
Quang Tung Thieu;Marie Luong;Jean-Marie Rocchisani;Emmanuel Viennet
Affiliations:
L2TI, University Paris, Villetaneuse, France;L2TI, University Paris, Villetaneuse, France;Hopital Avicenne-Medecine Nucleaire, Bobigny, France;L2TI, University Paris, Villetaneuse, France
Venue:
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Year:
2011

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Abstract

A novel region-based active contour model is proposed in this paper. By using the image local information in the energy function, our model is able to efficiently segment images with intensity inhomogeneity. Moreover, the proposed model is convex. So, it is independent of the initial condition. Furthermore, the energy function of the proposed model is minimized in a computationally efficient way by using the Chambolle method.