a = imread('c.jpg'); %read an image srcFiles = dir('similar\*.jpg'); %directory of the source folder Im1=rgb2gray(a); % convert images to type double (range from from 0 to 1 instead of from 0 to 255) Im1 = im2double(Im1); % Calculate the Normalized Histogram hn1 = imhist(Im1)./numel(Im1); for i = 1 : length(srcFiles) % determins how many images are there in the folder, filename = strcat('similar\',srcFiles(i).name); Im2=rgb2gray(filename); Im2 = im2double(Im2); hn2 = imhist(Im2)./numel(Im2); % Calculate the histogram error f(i) = sum((hn1 - hn2).^2);% Calculate the histogram error f %display the result to console end<
clc; % Clear the command window. close all; % Close all figures (except those of imtool.) clear; % Erase all existing variables. Or clearvars if you want. workspace; % Make sure the workspace panel is showing. format long g; format compact; fontSize = 25; % Read in a standard MATLAB gray scale demo image. folder = fullfile(matlabroot, '\toolbox\images\imdemos'); 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. fullFileNameOnSearchPath = baseFileName; % No path this time. if ~exist(fullFileNameOnSearchPath, '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 referenceGrayImage = imread(fullFileName); % Get the dimensions of the image. % numberOfColorBands should be = 1. [rows, columns, numberOfColorBands] = size(referenceGrayImage); 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. referenceGrayImage = referenceGrayImage(:, :, 2); % Take green channel. end % Display the original gray scale image. subplot(2, 2, 1); imshow(referenceGrayImage, []); 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 by ImageAnalyst', 'NumberTitle', 'Off') % Let's compute and display the histogram. [pixelCount, grayLevels] = imhist(referenceGrayImage); subplot(2, 2, 2); bar(grayLevels, pixelCount); grid on; title('Histogram of original image', 'FontSize', fontSize); xlim([0 grayLevels(end)]); % Scale x axis manually. srcFiles = dir(fullfile(folder, '*.jpg')); %directory of the source folder Im1 = im2double(referenceGrayImage); % Calculate the Normalized Histogram hn1 = imhist(referenceGrayImage)./numel(referenceGrayImage); for i = 1 : length(srcFiles) % determins how many images are there in the folder, filename = fullfile(folder,srcFiles(i).name) thisImage = imread(filename); % Display the original gray scale image. subplot(2, 2, 3); imshow(thisImage); title(filename, 'FontSize', fontSize); drawnow; Im2=rgb2gray(thisImage); Im2 = im2double(Im2); hn2 = imhist(Im2)./numel(Im2); % Calculate the histogram error f(i) = sum((hn1 - hn2).^2);% Calculate the histogram error f(i) %display the result to console promptMessage = sprintf('f=%f\nDo you want to Continue processing,\nor Cancel to abort processing?',f(i)); titleBarCaption = 'Continue?'; button = questdlg(promptMessage, titleBarCaption, 'Continue', 'Cancel', 'Continue'); if strcmpi(button, 'Cancel') break; end end
Matlabsolutions.com provides guaranteed satisfaction with a
commitment to complete the work within time. Combined with our meticulous work ethics and extensive domain
experience, We are the ideal partner for all your homework/assignment needs. We pledge to provide 24*7 support
to dissolve all your academic doubts. We are composed of 300+ esteemed Matlab and other experts who have been
empanelled after extensive research and quality check.
Matlabsolutions.com provides undivided attention to each Matlab
assignment order with a methodical approach to solution. Our network span is not restricted to US, UK and Australia rather extends to countries like Singapore, Canada and UAE. Our Matlab assignment help services
include Image Processing Assignments, Electrical Engineering Assignments, Matlab homework help, Matlab Research Paper help, Matlab Simulink help. Get your work
done at the best price in industry.