Separating YCbCr components of an image

11 次查看（过去 30 天）
Alexander De-Ville
回答： DGM 2022-11-22
I am trying to seperate out the Y, Cb, and Cr components of an image and display them. I wanted the results to look like: Wiki Article Figure
I haven't quite got it right and have been trying to fix it for ages, I'm sure it's something really stupid.
%Clear command window.
clc;
%Clear workspace.
clear;
%Load image 'Airplane'.
RGB = imread('Airplane.bmp');
%Convert RGB image to YCbCr Components.
YCbCr = rgb2ycbcr(RGB);
%Create a matrix of 0s, 512x512.
a = zeros(512,512);
%Isolate Y.
Y = YCbCr(:,:,1);
%Isolate Cb.
Cb = YCbCr(:,:,2);
%Isolate Cr.
Cr= YCbCr(:,:,3);
%Create a YCbCr image with only the Y component.
just_Y = cat(3, Y, a, a);
%Create a YCbCr image with only the Cb component.
just_Cb = cat(3, a, Cb, a);
%Create a YCbCr image with only the Cr component.
just_Cr = cat(3, a, a, Cr);
%turn back to rgb
YY = ycbcr2rgb(just_Y);
CbCb = ycbcr2rgb(just_Cb);
CrCr = ycbcr2rgb(just_Cr);
%Display the Original Image.
figure, imshow(RGB), title('Original Image')
%Display the Y(black and white) Component.
figure, imshow(YY), title('Y Component')
%Display the Cb Component.
figure, imshow(CbCb), title('Cb Component')
%Display the Cr Component.
figure, imshow(CrCr), title('Cr Component')
  1 个评论
Raksha Gopal Kulkarni
Raksha Gopal Kulkarni 2017-9-21
编辑：Walter Roberson 2021-12-24
Ran in:
Hey!!! I have a easy Mat lab code to display YCbCr components separately!!, it is consistent with the code to get RGB components from a colored image. Code:
if ~isunix()
filename = 'path to your image';
else
filename = 'flamingos.jpg';
end
image = imread(filename);
imshow(image);
ycbcr = rgb2ycbcr(image);
y = ycbcr(:,:,1); % y channel
cb = ycbcr(:,:,2); % cb channel
cr = ycbcr(:,:,3); % cr channel
figure();
imshow(y);
figure();
imshow(cb);
figure();
imshow(cr);

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采纳的回答

Alexander De-Ville
answered my own question. the 'a' matrix should not be 0s but 128s (50%)
  2 个评论
Aspira Tripathy
Aspira Tripathy 2018-6-14
This means that the values concatenated along with the Y-component should have intensity of 50% and therefore, the values shouldn't be zero, but 128. This can be done by adding 128 to the zeros' matrix i.e. a = 128+zeros(512,512). Hope this helps.

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更多回答（2 个）

Dominique Sutter
Dominique Sutter 2017-6-22
Hello, i just work on the same problem. I try the code above but it doesn't lead to good results. I've done the following : Title, and comments are in french, sorry.
clear variables
close all
clc
% Fichier image à traiter
fic='Capture.bmp';
% Lecture et Affichage de l'image
img=imread(fic);
ti=size(img);
figure(1)
imshow(img);
title(['Image originale : ',fic])
xlabel(['Résolution de l''image : ',num2str(ti(2)),'x',num2str(ti(1))])
R=img(:,:,1);
V=img(:,:,2);
B=img(:,:,3);
zer=zeros(ti,'uint8');
% Calcul
img_R=zer;
img_V=zer;
img_B=zer;
img_Y=zer;
img_Cb=zer;
img_Cr=zer;
% Séparation et affichage des canaux
img_R(:,:,1)=R;
img_V(:,:,2)=V;
img_B(:,:,3)=B;
% Calcul des Composantes
% Y (luminance - Image en niveaux de gris)
% Cb (chrominance bleue)
% Cr (chrominance rouge)
Y = 0.299*R+0.587*V+0.114*B;
Cb= -0.1687*R-0.3313*V+0.5*B+128;
Cr = 0.5*R-0.4187*V-0.0813*B+128;
figure(2)
subplot(131)
imshow(img_R)
title('Composante R')
subplot(132)
imshow(img_V)
title('Composante V')
subplot(133)
imshow(img_B)
title('Composante B')
img_Y(:,:,1)=Y;
img_Y(:,:,2)=Y;
img_Y(:,:,3)=Y;
figure(3)
imshow(img_Y);
title('Image en niveaux de gris (Luminance Y)')
img_Cb(:,:,1)=Y;
img_Cb(:,:,2)=Y;
img_Cb(:,:,3)=Y;
% Y, Cr NULL
img_Cb(:,:,1)=1.402*(-128); %R
img_Cb(:,:,2)=-0.34414*(Cb-128)-0.71414*(-128); %V
img_Cb(:,:,3)=1.772*(Cb-128); %B
figure(4)
imshow(img_Cb);
title('Chrominance bleue (Cb)')
% Y, Cb NULL
img_Cr(:,:,1)=1.402*(Cr-128); %R
img_Cr(:,:,2)=-0.34414*(-128)-0.71414*(Cr-128); %V
img_Cr(:,:,3)=1.772*(-128); %B
figure(5)
imshow(img_Cr);
title('Chrominance rouge (Cr)')
DGM
DGM 2022-11-22
See also:
https://www.mathworks.com/matlabcentral/answers/580287-how-to-display-y-cb-and-cr-components-of-an-image#answer_955405
This answer explains the limits of the given method of representation, and it includes links to similar examples, including ones recreating the Wiki barn photoset.

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