View source: R/priorBasedSegmentation.R
priorBasedSegmentation | R Documentation |
markov random field regularized, prior-based image segmentation that is a wrapper around atropos (see ANTs and related publications).
priorBasedSegmentation(
img,
priors,
mask,
priorWeight = 0.25,
mrf = 0.1,
iterations = 25,
verbose = FALSE
)
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. |
verbose |
maximum number of iterations. could be a large value eg 25. |
segmentation and probability images
Brian B. Avants
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)
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