Simple labelClustering function. — labelClusters • ANTsR

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

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

Author

Avants BB

Examples


img <- antsImageRead(getANTsRData("r16"))
timgFully <- labelClusters(img, 10, 128, 150, TRUE)
timgFace <- labelClusters(img, 10, 128, 150, FALSE)
if (FALSE) { # \dontrun{
plot(img, timgFace)
plot(img, timgFully)
} # }