How can be implemented the mode filter on image Through GUI in matlab
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How can be implemented the mode filter on image Through GUI in matlab
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Image Analyst
2015-3-20
编辑:Image Analyst
2015-3-20
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()
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