I substracted two 3D matrix and get a 2D matrix instead of 3D matrix, why?
5 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
I have a 3264x4912x3 matrix p, I subtracted p by the following code:
X=4912; Y=3264;d=1; dp=minus(p(1:Y,1:X-d),p(1:Y,1+d:X));
Then I get 3264x4911 matrix dp. Could anyone tell me why can't I get a 3d matrix (3264x4911x3) by subtracting two 3D matrix? Many thanks.
0 Commenti
Risposte (2)
Bruno Luong
il 5 Set 2024
Modificato: Bruno Luong
il 5 Set 2024
You need to put 3 indexes in 3d array. If you put 2 it reshape your array to 2D.
The correct command is probably
dp=minus(p(1:Y,1:X-d,:),p(1:Y,1+d:X,:))
1 Commento
Bruno Luong
il 5 Set 2024
Modificato: Bruno Luong
il 6 Set 2024
To facilitate the understanding of indexing behavior with number of index less than the dimension of original matrix, in other word how MATLAB reshape implicitly, try this examples
A = rand(2,3,5);
size(A)
size(A(:,:,:))
size(A(:,:))
size(A(:))
size(A(:,:,:,:))
size(A(:,:,:,:,:)) % yes all trailing dimensions are 1s but not displayed
Vinay
il 5 Set 2024
Hii Wang,
The original matrix p has dimensions 3264x4912x3. When using p(1:Y, 1:X-d) and p(1:Y, 1+d:X), you are slicing the first two dimensions and ignoring the third dimension.
Therefore the result of the subtraction is a 2D matrix of size 3264x4911
ans = p(1:Y, 1:X-d)- p(1:Y, 1+d:X)
The result can be obtained as 3D matrix by using the below code.
result = zeros(Y, X-d, 3);
result = p(1:Y, 1:X-d, :) - p(1:Y, 1+d:X, :);
2 Commenti
Stephen23
il 5 Set 2024
Modificato: Stephen23
il 5 Set 2024
"you are slicing the first two dimensions and ignoring the third dimension."
No, that is incorrect.
In fact all trailing dimensions collapse into the last subscript index. As Loren Shure wrote: "Indexing with fewer indices than dimensions If the final dimension i<N, the right-hand dimensions collapse into the final dimension."
If you think about it, linear indexing is really just a side-effect of this. Other discussions on this topic:
DGM
il 6 Set 2024
Similarly, this helps explain why size() behaves the way it does when using an underspecified set of scalar outputs:
A = rand(2,3,5);
sz1 = size(A(:,:,:))
[d1,d2,d3] = size(A)
sz2 = size(A(:,:)) % the input to size() is reshaped first
[d1,d2] = size(A) % the input to size() is not reshaped
Vedere anche
Categorie
Scopri di più su Matrix Indexing in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!