this is the first variational image segmentation algorithm that involves region-dependent multi-dimensional descr iptors based on the optimal transport theory. The distributions are represented owing to non-parametric kernel density estimators(In this paper, we propose a novel and rigorous fr a mework for region-based active contours that combines the Wasserstein distance between statistical distributions in arbitrary dimension and shape derivative tools. To the best of our knowledge)