Man pages for bayesImageS
Bayesian Methods for Image Segmentation using a Potts Model
| bayesImageS | Package bayesImageS |
| exactPotts | Calculate the distribution of the Potts model using a brute... |
| getBlocks | Get Blocks of a Graph |
| getEdges | Get Edges of a Graph |
| getNeighbors | Get Neighbours of All Vertices of a Graph |
| gibbsGMM | Fit a mixture of Gaussians to the observed data. |
| gibbsNorm | Fit a univariate normal (Gaussian) distribution to the... |
| gibbsPotts | Fit a hidden Potts model to the observed data, using a fixed... |
| initSedki | Initialize the ABC algorithm using the method of Sedki et al.... |
| mcmcPotts | Fit the hidden Potts model using a Markov chain Monte Carlo... |
| mcmcPottsNoData | Simulate pixel labels using chequerboard Gibbs sampling. |
| res | Simulation from the Potts model using single-site Gibbs... |
| res2 | Simulation from the Potts model using single-site Gibbs... |
| res3 | Simulation from the Potts model using single-site Gibbs... |
| res4 | Simulation from the Potts model using single-site Gibbs... |
| res5 | Simulation from the Potts model using single-site Gibbs... |
| smcPotts | Fit the hidden Potts model using approximate Bayesian... |
| sufficientStat | Calculate the sufficient statistic of the Potts model for the... |
| swNoData | Simulate pixel labels using the Swendsen-Wang algorithm. |
| synth | Simulation from the Potts model using Swendsen-Wang. |
| testResample | Test the residual resampling algorithm. |
