hi there, i am in great problem. can any one please tell me how to select ROI in any real time image through webcam. i am trying to get the real time image of face of the Rubik's cube. i want to select the Roi and then divide the image of the Rubik's face into nine blocks. then i want to take the mean of the pixels in the particular block,and thus identify the color in each block. please tell me how to get the boundary of the face of the Rubik on the webcam and then then divide it into blocks. it is really annoying me……please any one help me……..it will be really grateful………..please help……. hoping for the solution soon………….
MATLAB: Getiing roi of real time image through matlab and block processing.
roi and block processing
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You have to do each color one at a time, then combine them if you want a mask that includes both.
Try this:
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.png';% 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; endendgrayImage = 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(grayImage);if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
grayImage = rgb2gray(grayImage); % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
% grayImage = grayImage(:, :, 2); % Take green channel.
end% Display the image.
subplot(2, 2, 1);imshow(grayImage, []);title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;hFig = gcf;hFig.WindowState = 'maximized'; % May not work in earlier versions of MATLAB.
drawnow;%--------------------------------------------------------------------------------------------------------% SEGMENTATION OF IMAGE
% Get a binary image of just the blob and not including the black background or the white surround.
mask = grayImage > 0 & grayImage < 255; %imbinarize(grayImage);
subplot(2, 2, 2);imshow(mask, []);impixelinfo;title('Initial Mask Image', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;% Display histogram of image but only the image within the mask
subplot(2, 3, 4);histogram(grayImage(mask), 0:255);grid on;title('Histogram of gray image', 'FontSize', fontSize);% Now get the threshold
thresh = 255 * graythresh(grayImage(mask))% Put a red line there at the threshold
xline(thresh, 'Color', 'r', 'LineWidth', 2);% Get a binary image of the bright stuff
brightStuff = grayImage >= thresh & mask;subplot(2, 3, 5);imshow(brightStuff, []);impixelinfo;title('Bright Pixels in Region', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;subplot(2, 3, 6);darkStuff = ~brightStuff & mask;imshow(darkStuff, []);impixelinfo;title('Dark Pixels in Region', 'FontSize', fontSize, 'Interpreter', 'None');impixelinfo;
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