MATLAB: What is the procedure of finding out the accuracy of the images in matlab

cbirimage processingWavelet Toolbox

Actually i have find out eucledian distance of the query image and the images in the databases..Now my question is that how to find out the accuracy in the images using matlab..please help me.Thank you..

Best Answer

Assuming you found the best five images correctly, change the last few lines to this (untested):

figure;
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
for k = 1:length(bestFiveImages)
   subplot(2, 3, k);
   fullFileName = fullfile(pwd, fileNames{bestFiveImages(k)});
   if exist(fullFileName , 'file')
      imshow(imread(fullFileName));
      title(fullFileName, 'FontSize', 20);
   else
      warningMessage = sprintf('Warning: file not found:\n%s', fullFileName);
      uiwait(warndlg(warningMessage));
   end
end

Related Solutions

MATLAB: Please help me out in rectifying the errors in implementing Content Based Image Retrieval System.

adapthisteq() doesn't work with color images.

Anyway, there is no CBIR that I can see in your code. You're just comparing the intensities of the wavelet images. I could be wrong because I'm not a wavelet guy, but I don't think that will allow you to do things like "show me all pictures with a beach in them" or "show me all photos with a dog in them", etc.

MATLAB: Exchange bit-planes

Here's one way:

% Demo to extract and swap bitplanes in a gray scale image.
clc;    % Clear the command window.
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;
% Read in a standard MATLAB gray scale demo image.

folder = fullfile(matlabroot, '\toolbox\images\imdemos');
button = menu('Use which demo image?', 'CameraMan', 'Moon', 'Eight', 'Coins', 'Pout');
if button == 1
	baseFileName = 'cameraman.tif';
elseif button == 2
	baseFileName = 'moon.tif';
elseif button == 3
	baseFileName = 'eight.tif';
elseif button == 4
	baseFileName = 'coins.png';
else
	baseFileName = 'pout.tif';
end
% Read in a standard MATLAB gray scale demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
% 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 gray scale image.

subplot(2, 1, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Get the 3rd bitplane
bitPlane3Image = bitget(grayImage, 3);
% Get the 5th bitplane
bitPlane5Image = bitget(grayImage, 5);
% Make the 3rd bitplane the 5th one.
grayImage = bitset(grayImage, 3, bitPlane5Image);
% Make the 5th bitplane the 3rd one.
grayImage = bitset(grayImage, 5, bitPlane3Image);
% Display the original gray scale image.
subplot(2, 1, 2);
imshow(grayImage, []);
title('Modified Grayscale Image', 'FontSize', fontSize);
fprintf('Done running %s.m.\n', mfilename);
msgbox('Done with demo');

Best Answer

Related Solutions

MATLAB: Please help me out in rectifying the errors in implementing Content Based Image Retrieval System.

MATLAB: Exchange bit-planes

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