Mammographic Image Segmentation Using a Tissue-Mixture Model and Markov Random Fields.
Gregory McGarryMohamed A. DerichePublished in: ICIP (2000)
Keyphrases
- mixture model
- markov random field
- image segmentation
- image analysis
- expectation maximization
- em algorithm
- graph cuts
- mrf model
- gaussian mixture model
- belief propagation
- density estimation
- parameter estimation
- model selection
- energy function
- probabilistic model
- generative model
- image restoration
- energy minimization
- conditional random fields
- maximum a posteriori
- random fields
- computer vision
- unsupervised learning
- maximum likelihood
- language model
- higher order
- pairwise
- textured images
- image processing
- probability density function
- segmentation algorithm
- pattern recognition
- medical imaging
- non stationary
- object segmentation
- maximum likelihood estimation
- markov networks
- level set