Matlab script code for Adaptive median fitering

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.

[piyush kant]

thanx bro

[Image Analyst]

You're welcome. Please officially mark as "Accepted" to thank me.

[haritha c]

can anybody send the same to me?? [e-mail]

[Image Analyst]

I'll attached demo scripts to my Answer below.

[reena meshram]

what is the coding in smf cmf amf value in noisey image

[Image Analyst]

I have no idea what those acronyms are.

Answer 1

[Image Analyst]

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.

[Image Analyst]

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]

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]

Can you please provide the code for adaptive median filtering for color images?

[Image Analyst]

That's what the above attached m-file "salt_and_pepper_noise_removal.m" is!

[Hanisha Viswanatham]

can I get code on same filter but for a random valued noise?

Answer 2

[Amar]

ya, That would be good.I just need a working code for adaptive median fitering.

[Image Analyst]

This is not an "answer" to your question, so it should have been a comment to my answer. I'll put my response there.