bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model
Version 0.4-0

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).

AuthorMatt Moores [aut, cre], Kerrie Mengersen [aut], Dai Feng [ctb]
Date of publication2017-03-21 15:13:30 UTC
MaintainerMatt Moores <M.T.Moores@warwick.ac.uk>
LicenseGPL (>= 2)
Version0.4-0
URL https://bitbucket.org/Azeari/bayesimages
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bayesImageS")

Getting started

README.md

Popular man pages

getBlocks: Get Blocks of a Graph
getEdges: Get Edges of a Graph
gibbsNorm: Fit a univariate normal (Gaussian) distribution to the...
mcmcPotts: Fit the hidden Potts model using a Markov chain Monte Carlo...
mcmcPottsNoData: Simulate pixel labels using chequerboard Gibbs sampling.
smcPotts: Fit the hidden Potts model using approximate Bayesian...
testResample: Test the residual resampling algorithm.
See all...

All man pages Function index File listing

Man pages

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 Neighbors 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...
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.
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.
testResample: Test the residual resampling algorithm.

Functions

bayesImageS Man page
bayesImageS-package Man page
exactPotts Man page Source code
get2NeighborsCube Source code
get2NeighborsCube3DDiad Source code
get2NeighborsLine Source code
get2NeighborsPlane Source code
getBlocks Man page Source code
getBlocksCube Source code
getBlocksLine Source code
getBlocksPlane Source code
getEdges Man page Source code
getNeighbors Man page Source code
getNeighborsB Source code
getNeighborsCube Source code
getNeighborsLine Source code
getNeighborsPlane Source code
gibbsGMM Man page Source code
gibbsNorm Man page Source code
initSedki Man page Source code
mcmcPotts Man page Source code
mcmcPottsNoData Man page Source code
onUnload Source code
pre Source code
smcPotts Man page Source code
sufficientStat Man page Source code
swNoData Man page Source code
testResample Man page Source code

Files

COPYING
inst
inst/doc
inst/doc/introduction.Rnw
inst/doc/introduction.pdf
src
src/smcPotts.h
src/Makevars
src/bayesImageS_init.cpp
src/PottsUtil.cpp
src/smcPotts.cpp
src/Makevars.win
src/PottsUtil.h
src/mcmcPotts.cpp
src/mcmcPotts.h
NAMESPACE
NEWS.md
R
R/mcmcPotts.R
R/getBlocks.R
R/getEdges.R
R/smcPotts.R
R/getNeighbors.R
R/bayesImageS.R
vignettes
vignettes/elapsed_ct.eps
vignettes/path2d-eps-converted-to.pdf
vignettes/ndvi_hist.eps
vignettes/path2d.eps
vignettes/beta_ct.eps
vignettes/ct_hist-eps-converted-to.pdf
vignettes/elapsed2D-eps-converted-to.pdf
vignettes/exact_var_k-eps-converted-to.pdf
vignettes/mcmc_err2D_TI.eps
vignettes/bcrit3d.eps
vignettes/ndvi_hist-eps-converted-to.pdf
vignettes/beta_ct-eps-converted-to.pdf
vignettes/mcmc_err2D_TI-eps-converted-to.pdf
vignettes/exact_var_n.eps
vignettes/InverseTemperature.bib
vignettes/bcrit2d_sd-eps-converted-to.pdf
vignettes/mcmc_err2D_PL.eps
vignettes/pl_sd_n12k3.eps
vignettes/elapsed_ct-eps-converted-to.pdf
vignettes/exact_var_n-eps-converted-to.pdf
vignettes/introduction.Rnw
vignettes/ndvi_image.jpeg
vignettes/exact_exp_n-eps-converted-to.pdf
vignettes/bcrit3d-eps-converted-to.pdf
vignettes/bcrit2d-eps-converted-to.pdf
vignettes/bcrit2d_sd.eps
vignettes/ct_hist.eps
vignettes/bcrit2d.eps
vignettes/path3d-eps-converted-to.pdf
vignettes/elapsed2D.eps
vignettes/path3d.eps
vignettes/mcmc_err2D_MAVM-eps-converted-to.pdf
vignettes/bcrit3d_sd.eps
vignettes/pl_exp_n12k3-eps-converted-to.pdf
vignettes/pl_exp_n12k3.eps
vignettes/fanbeam.jpeg
vignettes/exact_var_k.eps
vignettes/exact_exp_k-eps-converted-to.pdf
vignettes/mcmc_err2D_PL-eps-converted-to.pdf
vignettes/exact_exp_k.eps
vignettes/mcmc_err2D_ABC-eps-converted-to.pdf
vignettes/mcmc_err2D_MAVM.eps
vignettes/pl_sd_n12k3-eps-converted-to.pdf
vignettes/exact_exp_n.eps
vignettes/bcrit3d_sd-eps-converted-to.pdf
vignettes/mcmc_err2D_ABC.eps
vignettes/elapsed3D.eps
vignettes/elapsed3D-eps-converted-to.pdf
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/testResample.Rd
man/swNoData.Rd
man/smcPotts.Rd
man/initSedki.Rd
man/getBlocks.Rd
man/getNeighbors.Rd
man/gibbsNorm.Rd
man/mcmcPotts.Rd
man/getEdges.Rd
man/exactPotts.Rd
man/mcmcPottsNoData.Rd
man/sufficientStat.Rd
man/bayesImageS.Rd
man/gibbsGMM.Rd
bayesImageS documentation built on May 20, 2017, 12:45 a.m.

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