Man pages for bayesImageS
Bayesian Methods for Image Segmentation using a Potts Model

bayesImageSPackage bayesImageS
exactPottsCalculate the distribution of the Potts model using a brute...
getBlocksGet Blocks of a Graph
getEdgesGet Edges of a Graph
getNeighborsGet Neighbours of All Vertices of a Graph
gibbsGMMFit a mixture of Gaussians to the observed data.
gibbsNormFit a univariate normal (Gaussian) distribution to the...
initSedkiInitialize the ABC algorithm using the method of Sedki et al....
mcmcPottsFit the hidden Potts model using a Markov chain Monte Carlo...
mcmcPottsNoDataSimulate pixel labels using chequerboard Gibbs sampling.
smcPottsFit the hidden Potts model using approximate Bayesian...
sufficientStatCalculate the sufficient statistic of the Potts model for the...
swNoDataSimulate pixel labels using the Swendsen-Wang algorithm.
testResampleTest the residual resampling algorithm.
bayesImageS documentation built on Nov. 17, 2017, 6:40 a.m.