bayesImageS v0.3-3
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Bayesian Methods for Image Segmentation using a Potts Model
Various algorithms for segmentation of 2D and 3D images, such
as computed tomography and satellite remote sensing. This package implements
Bayesian image analysis using the hidden Potts model with external field
prior. Latent labels are sampled using chequerboard updating or Swendsen-Wang.
Algorithms for the smoothing parameter include pseudolikelihood, path sampling,
the exchange algorithm, and approximate Bayesian computation (ABC).
Readme
Various algorithms for segmentation of 2D and 3D images, such as computed tomography and satellite remote sensing. The R package bayesImageS implements Bayesian image analysis using the hidden Potts model with external field prior. Latent labels are sampled using chequerboard updating or Swendsen-Wang. Algorithms for the smoothing parameter include pseudolikelihood, path sampling, the exchange algorithm, and approximate Bayesian computation.
Functions in bayesImageS
| Name | Description | |
| gibbsGMM | Fit a mixture of Gaussians to the observed data. | |
| bayesImageS | Package bayesImageS | |
| swNoData | Simulate pixel labels using the Swendsen-Wang algorithm. | |
| initSedki | Initialize the ABC algorithm using the method of Sedki et al. (2013) | |
| smcPotts | Fit the hidden Potts model using approximate Bayesian computation with sequential Monte Carlo (ABC-SMC). | |
| mcmcPottsNoData | Simulate pixel labels using chequerboard Gibbs sampling. | |
| mcmcPotts | Fit the hidden Potts model using a Markov chain Monte Carlo algorithm. | |
| testResample | Test the residual resampling algorithm. | |
| gibbsNorm | Fit a univariate normal (Gaussian) distribution to the observed data. | |
| sufficientStat | Calculate the sufficient statistic of the Potts model for the given labels. | |
| exactPotts | Calculate the distribution of the Potts model using a brute force algorithm. | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2016-11-03 |
| License | GPL (>= 2) |
| LinkingTo | Rcpp, RcppArmadillo |
| VignetteBuilder | knitr |
| RoxygenNote | 5.0.1 |
| NeedsCompilation | yes |
| Packaged | 2016-11-03 18:21:57 UTC; stsrjs |
| Repository | CRAN |
| Date/Publication | 2016-11-03 20:27:00 |
| suggests | coda , knitr , PottsUtils |
| depends | R (>= 2.14.0) |
| imports | Rcpp (>= 0.10.2) |
| linkingto | RcppArmadillo |
| Contributors | Matt Moores, Kerrie Mengersen |
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