patchMatch: patch match two images

In stnava/patchMatchR: Local patch matching with flexible transformation models in n-dimensional images

patch match two images

Description

High-level function for patch matching that makes many assumptions and therefore minimizes the number of parameters the user needs to choose. This prioritizes usability at the cost of optimality.

Usage

patchMatch(
  movingImage,
  fixedImage,
  fixedImageMask,
  finalTransform = "Rigid",
  fixedPatchRadius = 31,
  initialMap,
  visualize = FALSE,
  verbose = FALSE
)

Arguments

movingImage	input image from which we extract patches that are transformed to the space of the fixed image
fixedImage	input image that provides the fixed reference domain.
fixedImageMask	defines the object of interest in the fixedImage
finalTransform	defaults to "Rigid" but can be any antsRegistration.
fixedPatchRadius	integer greater than zero.
initialMap	this is the output of a call to antsRegistration. if it is not present, a quick SyN map will be computed.
visualize	boolean, will plot to screen
verbose	boolean, will print to screen

Value

data frame of corresponding points

Author(s)

Avants BB

Examples

library(ANTsR)
img <- ri( 1 ) %>% iMath( "Normalize" )
img2 <- ri( 2 ) %>% iMath( "Normalize" )
mask = randomMask( getMask( img ), 2 )
match = patchMatch( img2, img, mask, fixedPatchRadius = 3 )

stnava/patchMatchR documentation built on March 23, 2022, 6:47 a.m.