ANTsR (version 0.4.0)

labelClusters: Simple labelClustering function.

Description

This will give a unique ID to each connected component 1 through N of size > minClusterSize

Usage

labelClusters(imagein, minClusterSize = 50, minThresh = 1e-06,
  maxThresh = 1, fullyConnected = FALSE)

Arguments

imagein

input antsImage e.g. a statistical map

minClusterSize

throw away clusters smaller than this value

minThresh

threshold to a statistical map

maxThresh

threshold to a statistical map

fullyConnected

boolean sets neighborhood connectivity pattern

Value

labeled cluster image is output

Examples

# NOT RUN {
img<-antsImageRead( getANTsRData("r16") )
timgFully = labelClusters( img, 10, 128, 150, TRUE )
timgFace = labelClusters( img, 10, 128, 150, FALSE )
# }
# NOT RUN {
plot(img, timgFace )
plot(img, timgFully )
# }
# NOT RUN {
# }