Interactive ROI Segmentation using Graph Cuts
Résumé
Energy minimization by graph cuts is increasingly used in computer vision. One of the most attractive aspects of this approach is that it allows, under certain conditions, to find global minima of functions, avoiding the pitfall of classical local minima. In this paper, we describe our semisupervised approach of visual objects segmentation from a priori information, reducing the space of research. Then, we present different applications and we discuss the application of this method on color images and we evaluate a number of functions of penalties used for the construction of the graph.