exactPotts

A matrix of all neighbours in the lattice, one row per pixel.

neighbors

A list of pixel indices, dividing the lattice into independent blocks.

blocks

The inverse temperature parameter of the Potts model.

beta

Warning: this algorithm is O\((k^n)\) and therefore will not scale for
\(k^n &gt; 2^{31} - 1\)

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 of Moores et al. (2015) <doi:10.1016/j.csda.2014.12.001>.
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 the parametric functional approximate Bayesian (PFAB) algorithm. Refer to
<doi:10.1007/s11222-014-9525-6> and <doi:10.1214/18-BA1130> for further details.

exactPotts: Calculate the distribution of the Potts model using a brute force algorithm.

Description

Usage

Arguments

Value