MATLAB function for detecting different colours and can be used with in other projects.

color.m

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% Author       : Bharat Kumar                                             %
%                                                                         %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% Initialization

function varargout = Colors(varargin)
    gui_Singleton = 1;
    gui_State = struct('gui_Name',       mfilename, ...
                       'gui_Singleton',  gui_Singleton, ...
                       'gui_OpeningFcn', @Colors7_OpeningFcn, ...
                       'gui_OutputFcn',  @Colors7_OutputFcn, ...
                       'gui_LayoutFcn',  [] , ...
                       'gui_Callback',   []);
    if nargin && ischar(varargin{1})
        gui_State.gui_Callback = str2func(varargin{1});
    end
    
    if nargout
        [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
    else
        gui_mainfcn(gui_State, varargin{:});
    end
    
function Colors_OpeningFcn(hObject, eventdata, handles, varargin)
    handles.output = hObject;
    guidata(hObject, handles);

function varargout = Colors_OutputFcn(hObject, eventdata, handles) 
    varargout{1} = handles.output;

function Red_Callback(hObject, eventdata, handles)
    w=webcam(2);
    
    while(1)
        data = snapshot(w);
        diff_im = imsubtract(data(:,:,1), rgb2gray(data));
        diff_im = medfilt2(diff_im, [3 3]);
        diff_im = im2bw(diff_im,0.18);
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
        
        hold on
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end
    
        hold off
    end
clear all

function Green_Callback(hObject, eventdata, handles)
    w=webcam(2);
    
    while(1)
        data = snapshot(w);
        diff_im = imsubtract(data(:,:,2), rgb2gray(data)); 
        diff_im = medfilt2(diff_im, [3 3]); 
        diff_im = im2bw(diff_im, 0.05); 
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
    
        hold on
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end
        hold off
    end
clear all


function Blue_Callback(hObject, eventdata, handles)
    w=webcam(2);

    while(1)
        data = snapshot(w);
        diff_im = imsubtract(data(:,:,3), rgb2gray(data));
        diff_im = medfilt2(diff_im, [3 3]);
        diff_im = im2bw(diff_im,0.15);
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
        hold on
        
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end
    
        hold off
    end
clear all



function White_Callback(hObject, eventdata, handles)
    vid=webcam(2)
    
    while(1)
        data = snapshot(vid);
        bwredFrame = im2bw(data(:,:,1), 0.75); % obtain the white component from red layer
        bwgreenFrame = im2bw(data(:,:,2), 0.75); % obtain the white component from green layer
        bwblueFrame = im2bw(data(:,:,3), 0.75); % obtain the white component from blue layer
        binFrame = bwredFrame & bwgreenFrame & bwblueFrame; % get the common region
        diff_im = medfilt2(binFrame, [3 3]);
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
        hold on
    
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end 
        hold off
    end
clear all


function Pink_Callback(hObject, eventdata, handles)
    w=webcam(2)

    while(1)
        data = snapshot(w);
        diff_im = imsubtract(data(:,:,1), rgb2gray(data));
        diff_im = medfilt2(diff_im, [3 3]);
        diff_im = im2bw(diff_im,0.17);
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
        hold on
   
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end
        hold off
    end
clear all


function Yellow_Callback(hObject, eventdata, handles)
    w=webcam(2);

    while(1)
        data = snapshot(w);
        diff_im = imsubtract(data(:,:,1), rgb2gray(data));
        diff_im = medfilt2(diff_im, [3 3]);
        diff_im = im2bw(diff_im,0.1);
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
        hold on
    
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end
        hold off
    end
clear all




function Brown_Callback(hObject, eventdata, handles)
    w=webcam(2);

    while(1)
        data = snapshot(w);
        diff_im = imsubtract(data(:,:,1), rgb2gray(data));
        diff_im = medfilt2(diff_im, [3 3]);
        diff_im = im2bw(diff_im,0.11);
        diff_im = bwareaopen(diff_im,300);
        bw = bwlabel(diff_im, 8);
        stats = regionprops(bw, 'BoundingBox', 'Centroid');
        imshow(data)
        hold on
    
        for object = 1:length(stats)
            bb = stats(object).BoundingBox;
            bc = stats(object).Centroid;
            rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
            plot(bc(1),bc(2), '-m+')
            a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), '    Y: ', num2str(round(bc(2)))));
            set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');
        end
        hold off
    end
clear all