convolution-based shape identification — segmentShapeFromImage • ANTsR

takes an image and a shape and relates the 2nd with the first to yield a feature image - the function is user modifiable but defaults to cor

segmentShapeFromImage(
  img,
  shape,
  mask = NULL,
  rad = NA,
  scfun,
  maskZeroes = TRUE
)

Arguments

img	antsImage
shape	to define features
mask	with values 1 or 0
rad	max radius ( optional, not recommended )
scfun	function to apply to create feature image (defaults to cor)
maskZeroes	if TRUE (default), zeroes will not influence the result

Value

feature image

Examples


set.seed(123)
fi<-makeImage(c(20,20),rnorm(400,mean=1,sd=0.1))
mask<-getMask(fi,0.8,Inf,0)
segs<-kmeansSegmentation( fi ,3 , mask)$segmentation
segs[ segs != 1 ]<-0
shp<-labelClusters( segs,1)
shp[ shp != 1 ]<-0
fimg<-segmentShapeFromImage(fi,shp,mask)
#> Warning: the standard deviation is zero