Hi,
So i have an image with size of 512x512 pixels
For each pixel i calculte an environment of 11x11 nighbours so now i have matrix of cells in size of 512x512 while each cell contain a matrix in size of 11x11.
i want to calculte in efficient way a distance matrix between the cell's matrix elements, i.e if i organzie the cells marix in colum stack (vector in size of 262144), lets call this vector A , (so A is vector of cells while each cell contain a 11x11 matrix) i would like to create a matrix D in size of 262144x262144 while D(i,j) is the euclidian distance between the matrices in A(i) and A(j),
So far i calculate it with for loops:
function [ D ] = DistanceMatFromPatches( patches )
[patchesH,patchesW]=size(patches);
D=zeros(patchesH,patchesW);
patches_cs=patches(:);
patchesSize=size(patches_cs);
patchesNum=patchesSize(1);
f = waitbar(0);
for i=1:patchesNum-1
first_cs=patches_cs{i}(:);
for j=(i+1):(patchesNum)
waitbar(j/patchesNum,f,sprintf('Calculate Distance matrix: pixels %d and %d from %d',i,j,patchesNum));
sec_cs=patches_cs{j}(:);
D(i,j)=norm(first_cs-sec_cs);
D(j,i)=D(i,j);
end
end
close(f);
end
while patches is 512x512 matrix of cells.
This implementation is not very efficent .. anyone has other idea?
