skeletonize: Skeletonize a binary segmentation.
In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images
Description
Usage
Arguments
Value
Author(s)
Examples
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
1
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
1
2
img = antsImageRead( getANTsRData( 'r16') ) %>% thresholdImage( "Otsu", 3 )
skel = skeletonize( thresholdImage( img, 3, 3 ) )
neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.
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Description Usage Arguments Value Author(s) Examples
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
1 | 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
1 2 | 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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