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, approximate Bayesian computation (ABC-MCMC and ABC-SMC), and Bayesian indirect likelihood (BIL).
|Author||Matt Moores [aut, cre] (0000-0003-4531-3572), Kerrie Mengersen [aut, ths] (0000-0001-8625-9168), Dai Feng [ctb]|
|Date of publication||2017-10-19 17:44:11 UTC|
|Maintainer||Matt Moores <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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