skeletonize: Skeletonize a binary segmentation.
In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images
skeletonize R Documentation
Skeletonize a binary segmentation.
Description
Employ a topologically constrained label propagation tool in order to thin
an existing segmentation into a skeleton. The function will perform better
if the initial segmentation is well-composed.
Usage
skeletonize(x, laplacianThreshold = 0.25, propagationOption = 1)
Arguments
x
input binary image
laplacianThreshold
between zero and one, controls the speed image
propagationOption
either 0 (none), 1 (well-composed) or 2 (topological) constraint
Value
output binary image
Author(s)
Avants BB
Examples
img <- antsImageRead(getANTsRData("r16")) %>% thresholdImage("Otsu", 3)
skel <- skeletonize(thresholdImage(img, 3, 3))
stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.
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| skeletonize | R Documentation |
Skeletonize a binary segmentation.
Description
Employ a topologically constrained label propagation tool in order to thin an existing segmentation into a skeleton. The function will perform better if the initial segmentation is well-composed.
Usage
skeletonize(x, laplacianThreshold = 0.25, propagationOption = 1)
Arguments
x |
input binary image |
laplacianThreshold |
between zero and one, controls the speed image |
propagationOption |
either 0 (none), 1 (well-composed) or 2 (topological) constraint |
Value
output binary image
Author(s)
Avants BB
Examples
img <- antsImageRead(getANTsRData("r16")) %>% thresholdImage("Otsu", 3)
skel <- skeletonize(thresholdImage(img, 3, 3))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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