Detect Red, Green & Blue in RGB format

Color detection is one of the most important image/video processing. Imaging in how many applications the color detection can be useful or critical. I implemented this color detection in Matlab. Offcourse someone can implement it in OpenCV. Maybe this code will come in some days.
Follow this link and you can experiment the RGB format and the colors that it gives for different values:
RGB color tester.


%clear everything previous
clear all;

% read image from desktop ,enter your path and an image
rgbImage = imread('c:/users/cex/desktop/color.jpg');

% display original image in the first figure (array of figures 2x2)
subplot(2,2, 1);
imshow(rgbImage);
title('Original RGB Image');

% split the image into the three color bands
redBand = rgbImage(:,:, 1);
greenBand = rgbImage(:,:, 2);
blueBand = rgbImage(:,:, 3);

% Maximize the window of figures
set(gcf, 'Position', get(0, 'ScreenSize'));

%RED DETECTION
redthreshold = 100;
greenThreshold =100;
blueThreshold = 100;
redMask = (redBand > redthreshold);
greenMask = (greenBand < greenThreshold);
blueMask = (blueBand < blueThreshold);

% Combine the masks to find where all 3 are "true"
redObjectsMask = uint8(redMask & greenMask & blueMask);
% Initialize to black
maskedrgbImage = uint8(zeros(size(redObjectsMask)));
maskedrgbImage(:,:,1) = rgbImage(:,:,1) .* redObjectsMask;
maskedrgbImage(:,:,2) = rgbImage(:,:,2) .* redObjectsMask;
maskedrgbImage(:,:,3) = rgbImage(:,:,3) .* redObjectsMask;
subplot(2, 2, 2);
imshow(maskedrgbImage);
title('Red');

%GREEN DETECTION
% Threshold each color band.
redthreshold = 100;
greenThreshold =100;
blueThreshold = 100;
redMask = (redBand < redthreshold);
greenMask = (greenBand > greenThreshold);
blueMask = (blueBand < blueThreshold);


% Combine the masks to find where all 3 are "true."
greenObjectsMask = uint8(redMask & greenMask & blueMask);
% Initialize to black
maskedrgbImage = uint8(zeros(size(greenObjectsMask)));
maskedrgbImage(:,:,1) = rgbImage(:,:,1) .* greenObjectsMask;
maskedrgbImage(:,:,2) = rgbImage(:,:,2) .* greenObjectsMask;
maskedrgbImage(:,:,3) = rgbImage(:,:,3) .* greenObjectsMask;
subplot(2, 2, 3);
imshow(maskedrgbImage);
title('Green');

%BLUE DETECTION
redthreshold = 100;
greenThreshold =100;
blueThreshold = 100;
redMask = (redBand < redthreshold);
greenMask = (greenBand < greenThreshold);
blueMask = (blueBand > blueThreshold);


% Combine the masks to find where all 3 are "true."
blueObjectsMask = uint8(redMask & greenMask & blueMask);
% Initialize to black
maskedrgbImage = uint8(zeros(size(blueObjectsMask)));
maskedrgbImage(:,:,1) = rgbImage(:,:,1) .* blueObjectsMask;
maskedrgbImage(:,:,2) = rgbImage(:,:,2) .* blueObjectsMask;
maskedrgbImage(:,:,3) = rgbImage(:,:,3) .* blueObjectsMask;
subplot(2, 2, 4);
imshow(maskedrgbImage);
title('Blue');