segmentShapeFromImage: convolution-based shape identification

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Description

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

Usage

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

Author(s)

Brian B. Avants

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)

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.