How can be implemented the mode filter on image Through GUI in matlab

How can be implemented the mode filter on image Through GUI in matlab

Answer 1

[Image Analyst]

Try nlfilter. Demo attached. Change it to use mode().

Answer 2

[Image Analyst]

Alright, here, I did it for you. Try this:

% Demo to threshold an image with a locally adaptive mode using nlfilter.
function nlfilter_demo()
clc;
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 20;

% Check that user has the Image Processing Toolbox installed.
hasIPT = license('test', 'image_toolbox');
if ~hasIPT
  % User does not have the toolbox installed.
  message = sprintf('Sorry, but you do not seem to have the Image Processing Toolbox.\nDo you want to try to continue anyway?');
  reply = questdlg(message, 'Toolbox missing', 'Yes', 'No', 'Yes');
  if strcmpi(reply, 'No')
    % User said No, so exit.
    return;
  end
end

% Read in gray scale demo image.
folder = pwd; % Change this if the image is not in the same folder as this m-file.
baseFileName = 'cameraman.tif';
% 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 = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist in the search path folders.', 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);
if numberOfColorBands > 1
  % It's not really gray scale like we expected - it's color.
  % Convert it to gray scale by taking only the green channel.
  grayImage = grayImage(:, :, 2); % Take green channel.
end
% Display the original gray scale image.
subplot(2, 2, 1);
imshow(grayImage, []);
axis on;
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Give a name to the title bar.
set(gcf, 'Name', 'Demo to Threshold Document', 'NumberTitle', 'Off') 

% Let's compute and display the histogram, just for fun.
[pixelCount, grayLevels] = imhist(grayImage);
subplot(2, 2, 2); 
bar(grayLevels, pixelCount);
grid on;
title('Histogram of Original Image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
drawnow;

%--------------------------------------------------------------------------
% Do a local mode of the gray level image using the nlfilter function.
% We'll tell nlfilter to use our LocalMode() function to do its operations.
fun = @(x) LocalMode(x); 
doubleImage = im2double(grayImage); % Cast to double.
% Here comes the actual filtering.
localMode = nlfilter(doubleImage, [3, 3], fun); 

%--------------------------------------------------------------------------
% All done!
% Display the image.
subplot(2, 2, 3);
imshow(localMode, []);
title('Local Mode', 'FontSize', fontSize);

% Function to take the Otsu threshold of the small patch of gray levels passed in by nlfilter().
function newPixelValue = LocalMode(grayImagePatch)
  newPixelValue = false;
  try
    % New pixel value is the mode.
    newPixelValue = mode(grayImagePatch(:));
  catch ME
    errorMessage = sprintf('Error in function %s() at line %d.\n\nError Message:\n%s', ...
      ME.stack(1).name, ME.stack(1).line, ME.message);
    fprintf(1, '%s\n', errorMessage);
    uiwait(warndlg(errorMessage));
  end
  return; % from LocalMode()