To remove the noise using Median Filtering.

This is my code for median filtering..i have 5 image in "class2" folder. Am able to display only the 1st image of original & noise image. Its not displaying the resorted image, as well the other remaining 4 images..can anyone help me out to correct the error..

 myFolder='E:\MRP\accuracy\class2';
 m=input('Type the Number of Images to Process:');
 for k = 1:m
  jpgFilename = sprintf('%d.jpg', k);
  fullFileName = fullfile(myFolder, jpgFilename);
 end
  grayImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 1.
  [rows columns numberOfColorBands] = size(grayImage);

 % Display the original image.
  figure,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);
  figure,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.
figure,imshow(noiseFreeImage);
title('Restored Image', 'FontSize', fontSize);

Answer 1

[kash]

EDITED     

    clc
         clear all
        myFolder='E:\MRP\accuracy\class2'
         m=input('Type the Number of Images to Process:');
         for k = 1:m
          jpgFilename = sprintf('%d.jpg', k);
          fullFileName = fullfile(myFolder, jpgFilename);
        %  end
          grayImage = imread(fullFileName))
        % Get the dimensions of the image.  numberOfColorBands should be = 1.
          [rows columns numberOfColorBands] = size(grayImage);

    if numberOfColorBands==3
          grayImage=rgb2gray(grayImage);
      else
           grayImage=grayImage;
      end

         % Display the original image.
        figure('name','grayImage','numbertitle','off');imshow(grayImage);
        fontSize=10

        % Enlarge figure to full screen.

         % Generate a noisy image with salt and pepper noise.
          noisyImage = imnoise(grayImage,'salt & pepper', 0.05);
          figure('name','noisyImage','numbertitle','off');imshow(noisyImage);

        % 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.
        figure('name','Restored Image','numbertitle','off');imshow(noiseFreeImage);
        % figure,imshow(noiseFreeImage);
        % title('Restored Image', 'FontSize', fontSize);
         end

[sudha]

still the same error...

[kash]

its working fine in my system,what error you are getting again,what type of images u have is it gray scale or RGB upload your images

[sudha]

ya i got it..thank you..

If i want to apply on RGB images then wat to do???

[kash]

see for my edited code above

[sudha]

ya i got it..thank you..

If i want to apply on RGB images then wat to do???

[kash]

Accept the answer if it is correct and open a new forum,because RGB is different from gray scale filtering