Matlab script code for Adaptive median fitering
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I need a simple matlab script code for adaptive median filtering with no errors.I have tried many codes but failed to execute a single one.Also I don't know what is a mex file and how to convert the code into a mex file.
The code will have to able to process image of any size and remove the noise associated with it.
Any help will be highly appreciated.
Thank you.
6 个评论
piyush kant
2013-4-18
thanx bro
Image Analyst
2013-4-18
编辑：Image Analyst
2013-4-18
You're welcome. Please officially mark as "Accepted" to thank me.
haritha c
2015-10-27
Image Analyst
2015-10-27
I'll attached demo scripts to my Answer below.
reena meshram
2016-4-27
what is the coding in smf cmf amf value in noisey image
Image Analyst
2016-4-27
I have no idea what those acronyms are.
回答（2 个）
Image Analyst
2013-3-31
0 个投票
What kind of adaption is being done? I have one that removes salt and pepper noise if you want that. It is just straight MATLAB - no mex files needed.
5 个评论
Image Analyst
2013-3-31
Here's the demo. I have a color version -- if you want that one, let me know.
clc; % Clear command window.
clear; % Delete all variables.
close all; % Close all figure windows except those created by imtool.
imtool close all; % Close all figure windows created by imtool.
workspace; % Make sure the workspace panel is showing.
fontSize = 15;
% Read in a standard MATLAB demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'coins.png';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
% Didn't find it there. Check the search path for it.
fullFileName = baseFileName; % No path this time.
if ~exist(fullFileName, 'file')
% Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist.', fullFileName);
uiwait(warndlg(errorMessage));
return;
end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image. numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage);
% Display the original image.
subplot(2, 2, 1);
imshow(grayImage);
title('Original Gray Scale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Position', get(0,'Screensize'));
% Generate a noisy image with salt and pepper noise.
noisyImage = imnoise(grayImage,'salt & pepper', 0.05);
subplot(2, 2, 2);
imshow(noisyImage);
title('Image with Salt and Pepper Noise', 'FontSize', fontSize);
% Median Filter the image:
medianFilteredImage = medfilt2(noisyImage, [3 3]);
% Find the noise. It will have a gray level of either 0 or 255.
noiseImage = (noisyImage == 0 | noisyImage == 255);
% Get rid of the noise by replacing with median.
noiseFreeImage = noisyImage; % Initialize
noiseFreeImage(noiseImage) = medianFilteredImage(noiseImage); % Replace.
% Display the image.
subplot(2, 2, 3);
imshow(noiseFreeImage);
title('Restored Image', 'FontSize', fontSize);
Image Analyst
2015-10-27
Attached are two Salt and Pepper removal methods using a median filter to change only the noise pixels and not the "good" pixels.
Ninad Dafale
2016-6-17
Can you please provide the code for adaptive median filtering for color images?
Image Analyst
2016-6-17
That's what the above attached m-file "salt_and_pepper_noise_removal.m" is!
Hanisha Viswanatham
2016-7-21
can I get code on same filter but for a random valued noise?
Amar
2013-3-31
0 个投票
1 个评论
Image Analyst
2013-3-31
This is not an "answer" to your question, so it should have been a comment to my answer. I'll put my response there.
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2016-7-21
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