Improved edge map of geometrical active contour model based on coupling to anisotropic diffusion filtering

A new geometric active contour model based on iterative refinement of edge map stopping function obtained by iterative grey level homogenization is presented. To homogenize grey level of initial image, we proposed to couple adaptively the partial differential equation (PDE) of the anisotropic diffusion filter to that of geometric active contour model. The proposed model avoids the leakage problems and ensures that the evolving level set curves of geometric active contour model to reach more rapidly the true edges boundaries of the objects to be segmented. The robustness and precision performance of proposed model are evaluated on MR images and compared to the classical geometric active contour model (CGAC).