A variational bayes approach to image segmentation

Authors:
Giuseppe Boccignone;Mario Ferraro;Paolo Napoletano
Affiliations:
Natural Computation Lab, DIIIE, Universitá di Salerno, Fisciano, SA, Italy;DFS, Universitá di Torino, Torino, Italy;Natural Computation Lab, DIIIE, Universitá di Salerno, Fisciano, SA, Italy
Venue:
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Year:
2007

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Abstract

In this note we will 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 to enforce spatial constraints among labels.