histogramWarpImageIntensities: Transform image intensities based on histogram mapping.

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Transform image intensities based on histogram mapping.

Description

Apply B-spline 1-D maps to an input image for intensity warping.

Usage

histogramWarpImageIntensities(
  image,
  breakPoints = c(0.25, 0.5, 0.75),
  displacements = NULL,
  clampEndPoints = c(FALSE, FALSE),
  sdDisplacements = 0.05,
  transformDomainSize = 20
)

Arguments

image	input image.
breakPoints	parametric points at which the intensity transform displacements are specified between 0, 1. Alternatively, a single number can be given and the sequence is linearly spaced in 0, 1.
displacements	displacements to define intensity warping. Length must be equal to the breakPoints. Alternatively, if NULL random displacements are chosen (random normal: mean = 0, sd = sdDisplacements).
clampEndPoints	specify non-zero intensity change at the ends of the histogram.
sdDisplacements	characterize the randomness of the intensity displacement.
transformDomainSize	Defines the sampling resolution of the B-spline warping.

Value

warped intensity image

Author(s)

Tustison NJ

Examples

library( ANTsR )
image <- antsImageRead( getANTsRData( "r16" ) )
transformedImage <- histogramWarpImageIntensities( image, transformDomainSize = 10 )
rm(image); gc()
rm(transformedImage); gc()

ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.