multiChannelImageToPatches: multiChannelImageToPatches

In stnava/ANTsRNpy: What the Package Does Using Title Case

Description

Convert an input image to a set of patches of given radius. Return the local patch position for each patch. Optionally return the ground truth data associated with each patch, if available.

Usage

multiChannelImageToPatches(image, mask = NA, radius = 5, npatches = NA,
  groundTruth = 0, randomize = FALSE)

Arguments

image	a reference image defining the image space
mask	mask for the image
radius	a scalar defining the patch size
npatches	number of patches to regular sample from the image
groundTruth	single scalar or vector (size of mask) with groundTruth
randomize	randomize the location of the patch sampling

Value

list containing the image patches and separately the data frame holding the patch coordinate and the ground truth.

Author(s)

Avants BB

Examples

i1 = makeImage( c(25,25) )
i2 = makeImage( c(25,25) )
rimg = mergeChannels( list( i1, i2 ) )
ptch = multiChannelImageToPatches( rimg, i1 * 0 + 1, npatches = 3  )

stnava/ANTsRNpy documentation built on May 30, 2019, 7:20 p.m.