labels2matrix: Convert label image to a matrix
In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/labels2matrix.R
Description
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.
Usage
1
labels2matrix(img, mask, targetLabels = NULL, missingVal = NA)
Arguments
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.
Value
matrix is output
Author(s)
Avants BB
Examples
1
2
3
4
fi = antsImageRead(getANTsRData("r16") ,2) %>% resampleImage(c(60,60),1,0)
mask = getMask( fi )
labs = kmeansSegmentation( fi, 3 )$segmentation
labmat = labels2matrix( labs, mask )
neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/labels2matrix.R
Description
Convert a labeled image to an n x m binary matrix where n = number of voxels and m = number of labels. Only includes values inside the provided mask while including background ( img == 0 ) for consistency with timeseries2matrix and other image to matrix operations.
Usage
1 | labels2matrix(img, mask, targetLabels = NULL, missingVal = NA)
|
Arguments
img |
input label image |
mask |
defines domain of interest |
targetLabels |
defines target regions to be returned. if the target label does not exist in the input label image, then the matrix will contain a constant value of missingVal (default NA) in that row. |
missingVal |
for missing label values. |
Value
matrix is output
Author(s)
Avants BB
Examples
1 2 3 4 | fi = antsImageRead(getANTsRData("r16") ,2) %>% resampleImage(c(60,60),1,0)
mask = getMask( fi )
labs = kmeansSegmentation( fi, 3 )$segmentation
labmat = labels2matrix( labs, mask )
|
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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