ANTsR (version 0.7.2.0)

priorBasedSegmentation: spatial prior-based image segmentation.

Description

markov random field regularized, prior-based image segmentation that is a wrapper around atropos (see ANTs and related publications).

Usage

priorBasedSegmentation(img, priors, mask, priorWeight = 0.25, mrf = 0.1,
  iterations = 25)

Arguments

img

input image or image list for multivariate segmentation

priors

list of priors that cover the number of classes

mask

segment inside this mask

priorWeight

usually 0 (priors used for initialization only), 0.25 or 0.5.

mrf

regularization, higher is smoother, a numerical value in range 0.0 to 0.2

iterations

maximum number of iterations. could be a large value eg 25.

Value

segmentation and probability images

Examples

# NOT RUN {
fi = antsImageRead( getANTsRData( "r16" ) )
seg = kmeansSegmentation( fi, 3 )
msk = thresholdImage( seg$segmentation, 1, Inf )
pseg = priorBasedSegmentation( fi, seg$probabilityimages, msk, 0.25, 0.1, 3 )

# }