A Novel Image Segmentation Approach Based on Truncated Infinite Student's t-mixture Model.
Lu LiWentao FanJi-Xiang DuJing WangPublished in: ICIC (3) (2016)
Keyphrases
- mixture model
- image segmentation
- expectation maximization
- gaussian mixture model
- em algorithm
- density estimation
- maximum likelihood
- learning environment
- probabilistic model
- computer vision
- generative model
- model selection
- unsupervised learning
- language model
- markov random field
- mixture modeling
- image processing
- level set
- graph cuts
- probability density function
- learning process
- unsupervised image segmentation
- learning styles
- dirichlet process
- finite mixture model
- high dimensional
- probabilistic mixture model
- segmentation algorithm
- model based segmentation