A multiphase level set formulation for image segmentation using a MRF-based nonsymmetric Student's-t mixture model.
Hongqing ZhuQunyi XiePublished in: Signal Image Video Process. (2018)
Keyphrases
- mixture model
- level set method
- image segmentation
- level set
- markov random field
- expectation maximization
- graph cuts
- level set functions
- energy minimization
- active contours
- em algorithm
- geodesic active contours
- energy functional
- energy function
- density estimation
- gaussian mixture model
- curve evolution
- generative model
- mumford shah functional
- piecewise constant
- shape prior
- mumford shah
- watershed segmentation
- probabilistic model
- model selection
- multiscale
- language model
- active contour model
- partial differential equations
- region growing
- unsupervised learning
- maximum likelihood
- object segmentation
- piecewise smooth
- belief propagation
- deformable models
- segmentation result
- variational framework
- segmentation algorithm
- computer vision
- segmentation method
- variational formulation
- variational methods
- level set framework
- maximum a posteriori
- hyperparameters
- image restoration
- image processing