hessianObjectness: hessianObjectness

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

hessianObjectness

Description

Interface to ITK filter. Based on the paper by Westin et al., "Geometrical Diffusion Measures for MRI from Tensor Basis Analysis" and Luca Antiga's Insight Journal paper http://hdl.handle.net/1926/576.

Usage

hessianObjectness(
  image,
  objectDimension = 1,
  isBrightObject = TRUE,
  sigmaMin = 0.1,
  sigmaMax = 10,
  numberOfSigmaSteps = 10,
  useSigmaLogarithmicSpacing = TRUE,
  alpha = 0.5,
  beta = 0.5,
  gamma = 5,
  setScaleObjectnessMeasure = TRUE
)

Arguments

image	input image
objectDimension	0: 'sphere', 1: 'line', or 2: 'plane'.
isBrightObject	Set 'true' for enhancing bright objects and 'false' for dark objects.
sigmaMin	Define scale domain for feature extraction.
sigmaMax	Define scale domain for feature extraction.
numberOfSigmaSteps	Define number of samples for scale space.
useSigmaLogarithmicSpacing	Define sample spacing the for scale space.
alpha	Hessian filter parameter.
beta	Hessian filter parameter.
gamma	Hessian filter parameter.
setScaleObjectnessMeasure	...

Value

hessian objectness image.

Author(s)

NJ Tustison

Examples

image <- antsImageRead(getANTsRData("r16"))
hessianObjectnessImage <- hessianObjectness(image)

stnava/ANTsR documentation built on April 13, 2025, 4:10 a.m.