A Variational Representation for Efficient Noisy Segmentation.
R. Romano, Domenico Vitulano · Digital Library (University of West Bohemia) · 2002
In this paper we focus on a novel technique VRENS, (Variational Representation for Efficient Noisy Segmentation) to segment images (i.e. containg also textures) under noise. It is based on a hierarchical representation obtained by a combination of the classical weak membrane and a simpler region competition method. VRENS seems to be an interesting algorithm because of its robustness to added gaussian noise along with a low computational cost.