bilateral_filter: Apply a bilateral filter to a volumetric image

In bbuchsbaum/neuroim2: Data Structures and IO for Neuroimaging Data with an Emphasis on Functional Magnetic Resonance Imaging (FMRI)

Apply a bilateral filter to a volumetric image

Description

This function smooths a volumetric image (3D brain MRI data) using a bilateral filter. The bilateral filter considers both spatial closeness and intensity similarity for smoothing.

Usage

bilateral_filter(vol, mask, spatial_sigma = 2, intensity_sigma = 1, window = 1)

Arguments

vol	A NeuroVol object representing the image volume to be smoothed.
mask	An optional LogicalNeuroVol object representing the image mask that defines the region where the filtering is applied. If not provided, the entire volume is considered.
spatial_sigma	A numeric value specifying the standard deviation of the spatial Gaussian kernel (default is 2).
intensity_sigma	A numeric value specifying the standard deviation of the intensity Gaussian kernel (default is 25).
window	An integer specifying the number of voxels around the center voxel to include on each side. For example, window=1 for a 3x3x3 kernel (default is 1).

Value

A smoothed image of class NeuroVol.

Examples

brain_mask <- read_vol(system.file("extdata", "global_mask.nii", package="neuroim2"))

# Apply bilateral filtering to the brain volume
filtered_vol <- bilateral_filter(brain_mask, brain_mask, spatial_sigma = 2,
intensity_sigma = 25, window = 1)

bbuchsbaum/neuroim2 documentation built on April 20, 2024, 4:20 p.m.