53 search results - page 1 / 11 » A Bayesian Framework for Image Segmentation With Spatially V... |
TIP
2010
12 years 11 months ago
2010
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 co...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
MICCAI
2008
Springer
14 years 6 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
JMIV
2010
13 years 3 months ago
2010
TMI
2010
13 years 3 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...