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Apply a bilateral filter to a volumetric image

Source: R/spat_filter.R
bilateral_filter.Rd

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)