what is mean by Gaussian filtering? how it works?
what is mean by Gaussian filtering?
how it works?
how it is useful in edge detection?
NOTE:-
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A Gaussian filter blurs the image, so it can be like a “background” image. If you subtract that from the original image or one that is not blurred as much, it gives edges. This is called a Difference of Gaussian filter, or DOG filter. I’ve attached a demo script, below the image.
% Computes a Difference oOf Gaussians filter.
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables.
workspace; % Make sure the workspace panel is showing.
format longg;
format compact;
fontSize = 20;
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
button = menu('Use which demo image?', 'CameraMan', 'Moon', 'Eight', 'Coins');
if button == 1
baseFileName = 'cameraman.tif';
elseif button == 2
baseFileName = 'moon.tif';
elseif button == 3
baseFileName = 'eight.tif';
else
baseFileName = 'coins.png';
end
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
% File doesn't exist -- didn't find it there. Check the search path for it.
fullFileName =
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