EMBEDDING DIFFUSION IN VARIATIONAL BAYES: A TECHNIQUE FOR SEGMENTING IMAGES
Giuseppe Boccignone, Paolo Napoletano, Mario Ferraro · International Journal of Pattern Recognition and Artificial Intelligence · 2008
In this paper, we discuss how image segmentation can be handled by using Bayesian learning and inference. In particular variational techniques relying on free energy minimization will be introduced. It will be shown how to embed a spatial diffusion process on segmentation labels within the Variational Bayes learning procedure so as to enforce spatial constraints among labels.