ABSTRACT
Active contours and surfaces are deformable models used for 2D and 3D image segmentation. In this paper, we propose two methods developed in order to accelerate 3D image segmentation process. These last ones are adaptations on active surfaces of two methods developed for 2D active contour. We use them on a discrete 3D surface model (mesh) evolving with the greedy algorithm. Those methods will be compared to the classical greedy algorithm and to a recent fast adaptation of the level set method.
