Stacking indexed images and view the resulting volume
Show older comments
I have used the following code to convert RGB images to indexed image and stack them as a cube
A =imread('image2.png'); %A is a RGB image
B =imread('image3.png'); %B is a RGB image
C =imread('image4.png'); %C is a RGB image
[D,map] = rgb2ind(A,256); %D is an indexed image
E = rgb2ind(B,map); %D is an indexed image
F = rgb2ind(C,map); %D is an indexed image
G = zeros(size(A,1),size(A,2),3) %%G is my volume here
%%Note that A,B and C have the same dimensions. Similarly D,E and F have the same dimensions
G(:,:,1)=D;
G(:,:,2)=E;
G(:,:,3)=F;
The indexed image is viewed using the code
figure
imagesc(E)
colormap(map)
In a similar manner, how can I view my cube G using the same colormap?
Answers (1)
Subhadeep Koley
on 8 Apr 2021
This code snippet might help.
A = imread('image2.png');
B = imread('image3.png');
C = imread('image4.png');
[D, map] = rgb2ind(A, 256);
E = rgb2ind(B, map);
F = rgb2ind(C, map);
G = cat(3, D, E, F);
figure
volshow(G, 'Colormap', map);
Categories
Find more on Process Point Clouds in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!