Description Usage Arguments Value Author(s) Examples
View source: R/exemplarInpainting.R
Employs a robust regression approach to learn the relationship between a sample image and a list of images that are mapped to the same space as the sample image. The regression uses data from an image neighborhood.
1 2 3 4 5 6 7 8 9 10 11 | exemplarInpainting(
img,
paintMask,
imageList,
featureRadius = 2,
scaleInpaintIntensity = 0,
sharpen = FALSE,
feather = 1,
predalgorithm = "lm",
debug = FALSE
)
|
img |
antsImage to be approximated / painted |
paintMask |
painting mask with values 1 or values 1 and 2 - if there is a 2 then it will learn from label 1 to paint label 2. should cover the brain. |
imageList |
a list containing antsImages |
featureRadius |
- radius of image neighborhood e.g. 2 |
scaleInpaintIntensity |
- brighter or darker painted voxels, default of 0 sets this parameter automatically |
sharpen |
- sharpen the approximated image |
feather |
- value (e.g. 1) that helps feather the mask for smooth blending |
predalgorithm |
- string svm or lm |
debug |
- TRUE or FALSE |
inpainted image
Brian B. Avants
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | set.seed(123)
fi<-abs(replicate(100, rnorm(100)))
fi[1:10,]<-fi[,1:10]<-fi[91:100,]<-fi[,91:100]<-0
mask<-fi
mask[ mask > 0 ]<-1
mask2<-mask
mask2[11:20,11:20]<-2
mask<-as.antsImage( mask , "float" )
fi<-as.antsImage( fi , "float" )
fi<-smoothImage(fi,3)
mo<-as.antsImage( replicate(100, rnorm(100)) , "float" )
mo2<-as.antsImage( replicate(100, rnorm(100)) , "float" )
ilist<-list(mo,mo2)
painted<-exemplarInpainting(fi,mask,ilist)
mask2<-as.antsImage( mask2 , "float" )
painted2<-exemplarInpainting(fi,mask2,ilist)
# just use 1 image, so no regression is performed
painted3<-exemplarInpainting(fi,mask2, list(ilist[[1]]))
|
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