Image segmentation with a class-adaptive spatially constrained mixture model.
Christophoros NikouNikolaos GalatsanosAristidis LikasKonstantinos BlekasPublished in: EUSIPCO (2006)
Keyphrases
- mixture model
- image segmentation
- expectation maximization
- gaussian mixture model
- em algorithm
- probabilistic model
- density estimation
- generative model
- maximum likelihood
- unsupervised learning
- image processing
- model selection
- dirichlet processes
- language model
- probability density function
- dirichlet process
- mixture modeling
- graph cuts
- information retrieval
- machine learning
- mixture components
- markov random field
- active learning
- training data
- gaussian mixture
- unsupervised image segmentation
- finite mixture model
- data sets