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A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures

8 years 4 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet compound multinomial (DCM) probability density to model the mixing proportions (i.e., the probabilities of class labels) and a Gauss
Christophoros Nikou, Aristidis Likas, Nikolas P. G
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TIP
Authors Christophoros Nikou, Aristidis Likas, Nikolas P. Galatsanos
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