View source: R/labels2matrix.R
labels2matrix | R Documentation |
Convert a labeled image to an n x m binary matrix where n = number of voxels and m = number of labels. Only includes values inside the provided mask while including background ( img == 0 ) for consistency with timeseries2matrix and other image to matrix operations.
labels2matrix(img, mask, targetLabels = NULL, missingVal = NA)
img |
input label image |
mask |
defines domain of interest |
targetLabels |
defines target regions to be returned. if the target label does not exist in the input label image, then the matrix will contain a constant value of missingVal (default NA) in that row. |
missingVal |
for missing label values. |
matrix is output
Avants BB
fi <- antsImageRead(getANTsRData("r16"), 2) %>% resampleImage(c(60, 60), 1, 0)
mask <- getMask(fi)
labs <- kmeansSegmentation(fi, 3)$segmentation
labmat <- labels2matrix(labs, mask)
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