Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field.
Muhammad AzamJai Puneet SinghNizar BouguilaPublished in: ICIT (2021)
Keyphrases
- markov random field
- mixture model
- image segmentation
- expectation maximization
- graph cuts
- mrf model
- gaussian mixture model
- em algorithm
- dirichlet distribution
- belief propagation
- parameter estimation
- probabilistic model
- energy minimization
- maximum a posteriori
- higher order
- generative model
- density estimation
- spatial information
- energy function
- random fields
- markov random field model
- unsupervised learning
- model selection
- conditional random fields
- maximum likelihood
- pairwise
- potential functions
- language model
- prior model
- feature selection
- probability density function
- multiscale
- computer vision
- object segmentation
- active contours
- graphical models