exactPotts {bayesImageS} | R Documentation |
Warning: this algorithm is O(k^n)
and therefore will not scale for
k^n > 2^{31} - 1
exactPotts(neighbors, blocks, k, beta)
neighbors |
A matrix of all neighbours in the lattice, one row per pixel. |
blocks |
A list of pixel indices, dividing the lattice into independent blocks. |
k |
The number of unique labels. |
beta |
The inverse temperature parameter of the Potts model. |
A list containing the following elements:
expectation
The exact mean of the sufficient statistic.
variance
The exact variance of the sufficient statistic.
exp_PL
Pseudo-likelihood (PL) approximation of the expectation of S(z).
var_PL
PL approx. of the variance of the sufficient statistic.