gauss_kernel

Below is a demonstration of the features of the gauss_kernel function

Syntax
Description
Examples
Example 1: 1D 'sigma' method
Example 2: 1D 'width' method
Example 3: 2D 'width' method
Example 4: 3D 'width' method

clear; close all; clc;

Syntax

hg=gauss_kernel(k,nd,f,m);

Description

This function creates a Gaussian filtering kernel. The inputs are: k = the kernel size nd = the number of dimensions e.g. 1 for 1D, 2 for 2D, 3 for 3D etc. f = the Gaussian bell curve width measure, either the sigma (standard deviation) or the width methodOption = 'sigma' or 'width. If 'sigma' is choosen then f is interpretet as a Gaussian sigma. If 'width is used instead then f is interpretet as the point "where the bell curve is" at the edges of the kernel e.g. f=2 results in twice the standard deviation.

Examples

Plot settings

lineWidth=3;

Example 1: 1D 'sigma' method

k=25;
nd=1;
f=2;
methodOption='sigma';
hg=gauss_kernel(k,nd,f,methodOption);

cFigure;
plot(hg,'r-','LineWidth',lineWidth);
axis tight; box on; grid on;
drawnow;

Example 2: 1D 'width' method

k=25;
nd=1;
f=2;
methodOption='width';
hg=gauss_kernel(k,nd,f,methodOption);

cFigure;
plot(hg,'r-','LineWidth',lineWidth);
axis tight; box on; grid on;
drawnow;

Example 3: 2D 'width' method

k=11;
nd=2;
f=2;
methodOption='width';
hg=gauss_kernel(k,nd,f,methodOption);

cFigure;
imagesc(hg);
axis tight; axis equal; box on;
colormap spectral; colorbar;
drawnow;

Example 4: 3D 'width' method

k=11;
nd=3;
f=2;
methodOption='width';
hg=gauss_kernel(k,nd,f,methodOption);

optionStruct.colormap=spectral(250);
sv3(hg,ones(1,3),optionStruct);

GIBBON www.gibboncode.org

Kevin Mattheus Moerman, [email protected]

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License: https://github.com/gibbonCode/GIBBON/blob/master/LICENSE

GIBBON: The Geometry and Image-based Bioengineering add-On. A toolbox for image segmentation, image-based modeling, meshing, and finite element analysis.

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