labelClusters: Simple labelClustering function.

In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

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 = 0.000001,
  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(s)

Avants BB

Examples

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)

## End(Not run)

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.