imageSimilarity: imageSimilarity

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

imageSimilarity

Description

measure similarity between two images

Usage

imageSimilarity(
  fixed,
  moving,
  type = c("MeanSquares", "MattesMutualInformation", "ANTSNeighborhoodCorrelation",
    "Correlation", "Demons", "JointHistogramMutualInformation"),
  fixed.mask = NULL,
  moving.mask = NULL,
  sampling.strategy = "none",
  sampling.percentage = 1,
  nBins = 32,
  radius = 3
)

Arguments

fixed	the fixed antsImage
moving	the moving antsImage
type	image metric to calculate MeanSquares Correlation ANTSNeighborhoodCorrelation MattesMutualInformation JointHistogramMutualInformation Demons
fixed.mask	mask for the fixed image
moving.mask	mask for the moving image
sampling.strategy	sampling strategy, default if full sampling noneFull sampling random regular
sampling.percentage	percentage of data to sample when calculating metric
nBins	the number of bins for histogram metrics
radius	neighborhood radius of ANTSNeighborhoodCorrelation

Value

value of image to image metric

Examples

x <- antsImageRead(getANTsRData("r16"))
y <- antsImageRead(getANTsRData("r30"))
metric <- imageSimilarity(x, y, type = "MeanSquares")

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