bilateral_filter

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.

A collection of data structures and methods for handling volumetric
brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient
representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array
implementations, memory-mapped file access for large datasets, and
spatial transformation capabilities. Implements methods for image resampling,
spatial filtering, region of interest analysis, and connected component labeling. General introduction
to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis",
<ISBN:9781108795760>).

Bradley Buchsbaum

neuroim2

Data Structures for Brain Imaging Data

bilateral_filter function

<dl><dt>vol</dt>
<dd>A <code>NeuroVol</code> object representing the image volume to be smoothed.</dd>
<dt>mask</dt>
<dd>An optional <code>LogicalNeuroVol</code> object representing the image mask that defines the region where the filtering is applied. If not provided, the entire volume is considered.</dd>
<dt>spatial_sigma</dt>
<dd>A numeric value specifying the standard deviation of the spatial Gaussian kernel (default is 2).</dd>
<dt>intensity_sigma</dt>
<dd>A numeric value specifying the standard deviation of the intensity Gaussian kernel (default is 25).</dd>
<dt>window</dt>
<dd>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).</dd></dl>

Arguments

Apply a bilateral filter to a volumetric image — bilateral_filter

<dl>

<dt>vol</dt>
<dd>A <code>NeuroVol</code> object representing the image volume to be smoothed.</dd>


<dt>mask</dt>
<dd>An optional <code>LogicalNeuroVol</code> object representing the image mask that defines the region where the filtering is applied. If not provided, the entire volume is considered.</dd>


<dt>spatial_sigma</dt>
<dd>A numeric value specifying the standard deviation of the spatial Gaussian kernel (default is 2).</dd>


<dt>intensity_sigma</dt>
<dd>A numeric value specifying the standard deviation of the intensity Gaussian kernel (default is 25).</dd>


<dt>window</dt>
<dd>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).</dd>

</dl>

bilateral_filter: Apply a bilateral filter to a volumetric image

Description

Usage

Value

Arguments

Examples