A soft unsupervised two-phase image segmentation model based on global probability density functions.
Vinicius Ruela Pereira BorgesMarcos Aurélio BatistaCélia A. Zorzo BarcelosPublished in: SMC (2011)
Keyphrases
- probability density function
- image segmentation
- expectation maximization
- density function
- probability distribution
- gaussian mixture
- density estimation
- kullback leibler divergence
- em algorithm
- kernel density estimation
- generalized gaussian
- unsupervised learning
- multiscale
- markov random field
- semi supervised
- statistical methods
- level set
- higher order statistics
- bayesian formulation
- graph cuts
- computer vision
- bayesian framework
- prior knowledge
- shape prior
- probability distribution functions
- active contours
- texture descriptors
- segmentation method
- gray level
- generative model
- low dimensional
- pattern recognition
- decision trees