MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model.
Giorgos SfikasChristophoros NikouNikolas P. GalatsanosChristian HeinrichPublished in: MICCAI (1) (2008)
Keyphrases
- mixture model
- edge preserving
- spatially variant
- maximum likelihood
- maximum likelihood estimation
- image restoration
- noise reduction
- em algorithm
- mathematical morphology
- maximum a posteriori
- spatially varying
- anisotropic diffusion
- expectation maximization
- multiscale
- probabilistic model
- generative model
- morphological filters
- gaussian mixture model
- model selection
- least squares
- b spline
- density estimation
- structuring elements
- unsupervised learning
- bayesian networks
- parameter estimation
- edge detection
- blurred images
- probability density function
- motion blur
- computer vision
- total variation
- hyperparameters
- morphological operations
- multiresolution
- pattern recognition