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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.

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install.packages('bayesImageS')

Monthly Downloads

912

Version

0.3-3

License

GPL (>= 2)

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Last Published

November 3rd, 2016

Functions in bayesImageS (0.3-3)