How to Set a color to a value in image processing
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Cady
el 24 de Oct. de 2013
Comentada: Cady
el 28 de Oct. de 2013
This is the photo that I am using. Its a front view CAD drawing of a newsstand. In the image, the dark grey squares are representative of products that would be on their designated shelves. The green and red colors are tags that would be behind products. If green is shown, 2 products are missing. If red is shown, 3 products are missing. I want to identify this in the photo and put them in a vector: product 1 would be the first position in the vector and so on. Can anyone please help me with the code that I currently have.
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);
Respuesta aceptada
Más respuestas (0)
Ver también
Categorías
Más información sobre Explore and Edit Images with Image Viewer App en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!