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. © 2011 Springer-Verlag.
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CITATION STYLE
Thieu, Q. T., Luong, M., Rocchisani, J. M., & Viennet, E. (2011). A convex active contour region-based model for image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6854 LNCS, pp. 135–143). https://doi.org/10.1007/978-3-642-23672-3_17
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