Hello,I develop a Code that output image is 512*512 Matrices and i want to extract feature of this matrices with PCA or MPCA and use it on SVM algorithm,Anybody can help? Thank you
MATLAB: Feature Extraction On 512*512 type double Matrices
feature extractionimage analysismpcapcaStatistics and Machine Learning Toolbox
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[pixelCounts, grayLevels] = imhist(grayImage);[maxCount, indexOfMax] = max(pixelCounts);grayLevelAtMax = grayLevels(indexOfMax);OK, if you really need to it work for a full color image, here is code for that:
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 = 22;%--------------------------------------------------------------------------------------------------------
% READ IN IMAGE
folder = pwd;baseFileName = 'image.jpeg';% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);% Check if file exists.
if ~exist(fullFileName, 'file') % The file doesn't exist -- didn't find it there in that folder.
% Check the entire search path (other folders) for the file by stripping off the folder.
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; endendrgbImage = imread(fullFileName);% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(rgbImage);% Display the image.
hFig = figure;subplot(2, 2, 1);imshow(rgbImage, []);impixelinfo;title('Original RGB Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;%--------------------------------------------------------------------------------------------------------% EXTRACTION OF IMAGE
% Get the max image
grayImage = min(rgbImage, [], 3);subplot(2, 2, 2);imshow(grayImage, []);impixelinfo;title('Gray Scale Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.drawnow;threshold = 240; % Whatever....
mask = grayImage < threshold; % Create a binary image (a mask)
% Extract the largest blob only.
mask = bwareafilt(mask, 1);% Fill holes
mask = imfill(mask, 'holes');% Display the image.subplot(2, 2, 3);imshow(mask, []);title('Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');axis('on', 'image');% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);greenChannel = rgbImage(:, :, 2);blueChannel = rgbImage(:, :, 3);% Get the mean gray levels in R, G, and B.
meanGLR = mean(rgbImage(redChannel > threshold))meanGLG = mean(rgbImage(greenChannel > threshold))meanGLB = mean(rgbImage(blueChannel > threshold))% Mask the individual color channel images.
% Make outside the mask the mean of what's above the threshold.
redChannel(~mask) = meanGLR;greenChannel(~mask) = meanGLG;blueChannel(~mask) = meanGLB;% Recombine separate color channels into a single, true color RGB image.
rgbImage2 = cat(3, redChannel, greenChannel, blueChannel);% Display the cropped image.
subplot(2, 2, 4);imshow(rgbImage2, []);title('Final Image', 'FontSize', fontSize, 'Interpreter', 'None');axis('on', 'image');
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