bayesImageS: 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).

AuthorMatt Moores [aut, cre], Kerrie Mengersen [aut]
Date of publication2016-11-03 20:27:00
MaintainerMatt Moores <M.T.Moores@warwick.ac.uk>
LicenseGPL (>= 2)
Version0.3-3

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Files in this package

bayesImageS
bayesImageS/COPYING
bayesImageS/inst
bayesImageS/inst/doc
bayesImageS/inst/doc/introduction.Rnw
bayesImageS/inst/doc/introduction.pdf
bayesImageS/src
bayesImageS/src/smcPotts.h
bayesImageS/src/Makevars
bayesImageS/src/PottsUtil.cpp
bayesImageS/src/smcPotts.cpp
bayesImageS/src/Makevars.win
bayesImageS/src/PottsUtil.h
bayesImageS/src/mcmcPotts.cpp
bayesImageS/src/mcmcPotts.h
bayesImageS/NAMESPACE
bayesImageS/R
bayesImageS/R/mcmcPotts.R bayesImageS/R/smcPotts.R bayesImageS/R/bayesImageS.R
bayesImageS/vignettes
bayesImageS/vignettes/elapsed_ct.eps
bayesImageS/vignettes/path2d-eps-converted-to.pdf
bayesImageS/vignettes/ndvi_hist.eps
bayesImageS/vignettes/path2d.eps
bayesImageS/vignettes/beta_ct.eps
bayesImageS/vignettes/ct_hist-eps-converted-to.pdf
bayesImageS/vignettes/elapsed2D-eps-converted-to.pdf
bayesImageS/vignettes/exact_var_k-eps-converted-to.pdf
bayesImageS/vignettes/introduction-concordance.tex
bayesImageS/vignettes/mcmc_err2D_TI.eps
bayesImageS/vignettes/bcrit3d.eps
bayesImageS/vignettes/ndvi_hist-eps-converted-to.pdf
bayesImageS/vignettes/introduction.tex
bayesImageS/vignettes/beta_ct-eps-converted-to.pdf
bayesImageS/vignettes/mcmc_err2D_TI-eps-converted-to.pdf
bayesImageS/vignettes/exact_var_n.eps
bayesImageS/vignettes/InverseTemperature.bib
bayesImageS/vignettes/bcrit2d_sd-eps-converted-to.pdf
bayesImageS/vignettes/mcmc_err2D_PL.eps
bayesImageS/vignettes/pl_sd_n12k3.eps
bayesImageS/vignettes/elapsed_ct-eps-converted-to.pdf
bayesImageS/vignettes/exact_var_n-eps-converted-to.pdf
bayesImageS/vignettes/introduction.Rnw
bayesImageS/vignettes/ndvi_image.jpeg
bayesImageS/vignettes/exact_exp_n-eps-converted-to.pdf
bayesImageS/vignettes/bcrit3d-eps-converted-to.pdf
bayesImageS/vignettes/bcrit2d-eps-converted-to.pdf
bayesImageS/vignettes/bcrit2d_sd.eps
bayesImageS/vignettes/ct_hist.eps
bayesImageS/vignettes/bcrit2d.eps
bayesImageS/vignettes/path3d-eps-converted-to.pdf
bayesImageS/vignettes/elapsed2D.eps
bayesImageS/vignettes/path3d.eps
bayesImageS/vignettes/mcmc_err2D_MAVM-eps-converted-to.pdf
bayesImageS/vignettes/bcrit3d_sd.eps
bayesImageS/vignettes/pl_exp_n12k3-eps-converted-to.pdf
bayesImageS/vignettes/pl_exp_n12k3.eps
bayesImageS/vignettes/fanbeam.jpeg
bayesImageS/vignettes/exact_var_k.eps
bayesImageS/vignettes/exact_exp_k-eps-converted-to.pdf
bayesImageS/vignettes/mcmc_err2D_PL-eps-converted-to.pdf
bayesImageS/vignettes/exact_exp_k.eps
bayesImageS/vignettes/mcmc_err2D_ABC-eps-converted-to.pdf
bayesImageS/vignettes/mcmc_err2D_MAVM.eps
bayesImageS/vignettes/pl_sd_n12k3-eps-converted-to.pdf
bayesImageS/vignettes/exact_exp_n.eps
bayesImageS/vignettes/bcrit3d_sd-eps-converted-to.pdf
bayesImageS/vignettes/mcmc_err2D_ABC.eps
bayesImageS/vignettes/elapsed3D.eps
bayesImageS/vignettes/elapsed3D-eps-converted-to.pdf
bayesImageS/README.md
bayesImageS/MD5
bayesImageS/build
bayesImageS/build/vignette.rds
bayesImageS/DESCRIPTION
bayesImageS/man
bayesImageS/man/testResample.Rd bayesImageS/man/swNoData.Rd bayesImageS/man/smcPotts.Rd bayesImageS/man/initSedki.Rd bayesImageS/man/gibbsNorm.Rd bayesImageS/man/mcmcPotts.Rd bayesImageS/man/exactPotts.Rd bayesImageS/man/mcmcPottsNoData.Rd bayesImageS/man/sufficientStat.Rd bayesImageS/man/bayesImageS.Rd bayesImageS/man/gibbsGMM.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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