Counting Colored Objects in an Image

Question

Cady 2013-10-10

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/89851-counting-colored-objects-in-an-image

评论： Image Analyst 2016-4-26

Hello, I need help creating a code that can count and keep track of red and green colors in an image. Every time the program detects a red or green object it will put it a vector to be stored. If anyone can help me with this I would appreciate it because I am a novice to Matlab programming. Thank you for your time.

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Answer 1

Image Analyst 2013-10-15

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/89851-counting-colored-objects-in-an-image#answer_99736

See my File Exchange for color segmentation demos: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862

Also check the File Exchange where there are lots of tracking demos, like video tracking of red lasers or red balls, etc.

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Cady 2013-10-24

在 MATLAB Online 中打开

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
clear;  % Erase all existing variables.
workspace;  % Make sure the workspace panel is showing.
fontSize = 14;
% Read in a standard MATLAB color demo image.
folder = 'C:\Users\FIQ\Documents\Temporary';
baseFileName = 'FrontNewsStand.png';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
I = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(I);
% Display the original color image.
subplot(4, 3, 1);
imshow(I);
axis on;
hold on;
title('Original Color Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Extract the individual red, green, and blue color channels.
redChannel = I(:, :, 1);
greenChannel = I(:, :, 2);
BinaryRed = redChannel > 100;
BinaryGreen = greenChannel > 100;
classifiedImageG = 1 * int32(BinaryGreen);
classifiedImageR = 1 * int32(BinaryRed) ;
Demand_Vector = [0 0 0 0 0 0 0 0 0];
%Cropping of Row 1, Column 1
I1=imcrop(I,[20 7 170 165]);
subplot(4, 3, 4);
imshow(I1);
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(1) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(1) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(1) = 0;
end
%Cropping of Row 1 Column 2
I2=imcrop(I,[185 7 185 165]);
subplot(4, 3, 5);
imshow(I2);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(2) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(2) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(2) = 0;
end
%Cropping of Row 1 Column 3
I3=imcrop(I,[365 7 170 165]);
subplot(4, 3, 6);
imshow(I3);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(3) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(3) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(3) = 0;
end
%Cropping of Row 2 Column 1
I4=imcrop(I,[20 170 170 165]);
subplot(4, 3, 7);
imshow(I4);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(4) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(4) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(4) = 0;
end
%Cropping of Row 2 Column 2
I5=imcrop(I,[185 170 185 165]);
subplot(4, 3, 8);
imshow(I5);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(5) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(5) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(5) = 0;
end
%Cropping of Row 2 Column 3
I6=imcrop(I,[365 170 170 165]);
subplot(4, 3, 9);
imshow(I6);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(6) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(6) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(6) = 0;
end
%Cropping of Row 3 Column 1
I7=imcrop(I,[20 335 170 165]);
subplot(4, 3, 10);
imshow(I7);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(7) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(7) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(7) = 0;
end
%Cropping of Row 3 Column 2
I8=imcrop(I,[185 335 185 165]);
subplot(4, 3, 11);
imshow(I8);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(8) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(8) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(8) = 0;
end
%Cropping of Row 3 Column 3
I9=imcrop(I,[365 335 170 165]);
subplot(4, 3, 12);
imshow(I9);
%When Green is shown, there are 2 products needed. When Red is shown, there
%are 3 products needed.  Otherwise, no products are needed.
if classifiedImageG == 1 & classifiedImageR ~= 1
    Demand_Vector(9) = classifiedImageG + 2;
elseif classifiedImageG == 1 & classifiedImageR == 1
    Demand_Vector(9) = classifiedImageR + 3;
elseif classifiedImageG ~= 1 & classifiedImageR ~= 1
    Demand_Vector(9) = 0;
end
disp(Demand_Vector);

sana saleeme 2016-4-26

image anylist this sign ~ always create problem for me.and stop running my code.kindly help me.

Image Analyst 2016-4-26

I'll try, but you forgot to attach your code.

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Answer 2

Yatin 2013-10-15

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/89851-counting-colored-objects-in-an-image#answer_99732

Hello,

May be the link below will be useful. It is based on the segmentation of the image based on colors. The link is : http://www.mathworks.com/matlabcentral/newsreader/view_thread/287764