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Matrix/Image Merging

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Kyle
Kyle il 23 Giu 2011
Hi,
I have 2 matrix A and B which are different size, I would like to combine them together with A as the master to make a new matrix with consist of A and B. The way I want both matrix is merge through a location on both matrix. For example place Matrix A on Matrix B on certain location, Eg ‘8’ on Matrix A to Matrix B’s ‘22’ to result Matrix Merge.
A=[1 2 3 4 5; 6 7 8 9 10; 11 12 13 14 15]
A =
1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
B=[13 14 15 20 27 21; 16 17 18 19 25 26; 21 22 23 24 25 23]
B =
13 14 15 20 27 21
16 17 18 19 25 26
21 22 23 24 25 23
Merge=[0 13 14 15 20 27 21 ; 1 2 3 4 5 25 26 ; 6 7 8 9 10 25 23 ; 11 12 13 14 15 0 0]
Merge =
0 13 14 15 20 27 21
1 2 3 4 5 25 26
6 7 8 9 10 25 23
11 12 13 14 15 0 0
Besides that, additional space will have value of 0. I'll use these method to merge 2 images where i have a location at both images which going to be used to control the location of merging.
Thanks;
  1 Commento
Kyle
Kyle il 25 Giu 2011
Problem solved by Sean de and Matt Fig.
Guys is it possible to modify the code to support this kind of matrix?
A=reshape(1:45,3,5,3);
B=reshape(1:105,5,7,3)+45;
The merging still same as before. Superimpose base location on Matrix A and Matrix B. However now there is 3 level of array. (i thinks its call 2 dimensional array, not very sure though)
i could store each level of array into separate 1 dimensional array and use the code u guys written to combine the matrix then put the matrix back into a new 2 dimensional array. But that means i need to run through the code 3 times.

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Risposta accettata

Sean de Wolski
Sean de Wolski il 23 Giu 2011
Repaste New trix every time!
clear Merge
A=[1 2 3 4 5; 6 7 8 9 10; 11 12 13 14 15];
B=[16 17 18 19 20 21; 22 23 24 25 26 27; 28 29 30 31 32 33; 34 35 36 37 38 39;40 41 42 43 44 45];
Awant = 8;
Bwant = 42;
[ra ca] = find(A==Awant,1,'first');
[rb cb] = find(B==Bwant,1,'first');
D = abs(diff([ra ca;rb cb],1,1));
sd = sign(diff([ra ca;rb cb],1,1));
corners = abs(sum(sd));
if ~corners
if sd(1) == 1
Merge(1:(size(B,1)),(D(2)+1:(size(B,2)+D(2)))) = B;
Merge((D(1)+1):(size(A,1)+D(1)),1:(size(A,2))) = A;
else
Merge((D(1)+1):(size(B,1)+D(1)),1:(size(B,2))) = B;
Merge(1:(size(A,1)),(D(2)+1:(size(A,2)+D(2)))) = A;
end
elseif corners == 1;
if ~sd(1)
Merge(1:(size(B,1)),1:(size(B,2))) = B;
Merge((D(1)+1):(size(A,1)+D(1)),(D(2)+1:(size(A,2)+D(2)))) = A;
else
Merge(1:(size(B,1)),1:(size(B,2))) = B;
Merge((D(1)+1):(size(A,1)+D(1)),(D(2)+1:(size(A,2)+D(2)))) = A;
end
else
if sd(1) == 1
Merge(1:(size(B,1)),1:(size(B,2))) = B;
Merge((D(1)+1):(size(A,1)+D(1)),(D(2)+1:(size(A,2)+D(2)))) = A;
else
Merge((D(1)+1):(size(B,1)+D(1)),(D(2)+1:(size(B,2)+D(2)))) = B;
Merge(1:(size(A,1)),1:(size(A,2))) = A;
end
end
Should work for any case.
  8 Commenti
Sean de Wolski
Sean de Wolski il 24 Giu 2011
Again!
You're doing your job of testing quite well. Better than me.
Kyle
Kyle il 25 Giu 2011
Thanks.
No error found :D

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Più risposte (2)

Matt Fig
Matt Fig il 24 Giu 2011
Kyle, what to do when multiple matches are found in B, since your example B has duplicates?
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EDIT In response to clarification about duplicates.
Since you say there will not be duplicates in the actual data, I will use example matrices without duplicates:
A = reshape(1:12,3,4);
B = reshape(1:30,5,6)+12;
NA = 5; % The number to overlap in A.
NB = 35; % The number to overlap in B.
[mA,nA] = size(A);
[mB,nB] = size(B);
[IA,JA] = find(A==NA);
[IB,JB] = find(B==NB);
mC = mA+mB+mod(mA+mB,2)+1;
nC = nA+nB+mod(nA+nB,2)+1;
C = zeros(mC,nC);
cC = round([mC/2,nC/2]);
C(cC(1)-IB+1:cC(1)-IB+mB,cC(2)-JB+1:cC(2)-JB+nB) = B;
C(cC(1)-IA+1:cC(1)-IA+mA,cC(2)-JA+1:cC(2)-JA+nA) = A;
C = C(:,any(logical(C)));
C = C(any(logical(C),2),:)
  7 Commenti
Sean de Wolski
Sean de Wolski il 24 Giu 2011
Good Point.
Kyle
Kyle il 25 Giu 2011
Ur code does work for matrix. Very robust
But when i applied on gray images. The output image doesnt seems to be from my input image

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Kyle
Kyle il 25 Giu 2011
Hi Matt,
i used ur code to test on image like shown below.
clc
% A = reshape(1:15,3,5)
% B = reshape(1:35,5,7)+12
A = imread('cameraman.tif');
B = imread('cameraman.tif');
% NA = 8; % The number to overlap in A.
% NB = 32; % The number to overlap in B.
[mA,nA] = size(A);
[mB,nB] = size(B);
% [IA,JA] = find(A==NA);
% [IB,JB] = find(B==NB);
IA=50;
JA=50;
IB=1;
JB=1;
mC = mA+mB+mod(mA+mB,2)+1;
nC = nA+nB+mod(nA+nB,2)+1;
C = zeros(mC,nC);
cC = round([mC/2,nC/2]);
C(cC(1)-IB+1:cC(1)-IB+mB,cC(2)-JB+1:cC(2)-JB+nB) = B;
C(cC(1)-IA+1:cC(1)-IA+mA,cC(2)-JA+1:cC(2)-JA+nA) = A;
C = C(:,any(logical(C)));
C = C(any(logical(C),2),:);
imshow(C)
The resultant image should be Image A overlapping Image B. however i only see black n white. Did i do anything wrong? Ur code works on matrix, and image is also a form of matrix. I dont know how come it when wrong.
  3 Commenti
Kyle
Kyle il 25 Giu 2011
This is odd. i even check the pixel value. its the same but shows different color. First time encounter this
Kyle
Kyle il 28 Giu 2011
http://www.mathworks.com/matlabcentral/answers/10268-weird-imshow-image-same-pixel-value-different-color
Problem solved, need to change this
C = zeros(mC,nC,'uint8');

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