Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation.
Kazuyuki TanakaD. M. TitteringtonPublished in: ICPR (2) (2004)
Keyphrases
- probabilistic model
- loopy belief propagation
- em algorithm
- markov random field
- energy function
- objective function
- image processing
- prior knowledge
- bayesian inference
- similarity measure
- sensitivity analysis
- parameter estimation
- closed form
- cross validation
- expectation maximization
- computer vision
- segmentation method
- belief propagation
- prior information
- posterior probability
- image sequences
- conditional random fields
- kalman filter
- upper bound
- generative model
- bayesian framework
- probabilistic inference
- posterior distribution
- variational methods