MATLAB: How to calculate the mean and standard deviation of the 27 neighbourhood of a voxel in a 3D matrix

Image Processing Toolboxmatricesmeanneighbourhoodstandard deviation

Hello everybody!

I have a matrix 336*336*65. I want to create two new matrices of the same size, one representing the mean value of the 27-neighboor of each voxel and another one representing the standard deviation for the same neighbors.

Can anyone help me?

Best Answer

Use convn() and stdfilt().

kernel = ones(3,3,3);
out = convn(inputImage, kernel, 'same')

Related Solutions

MATLAB: Mean of row with column shifted

mean( [YourArray(:,1:3), circshift(YourArray(:,4:5),1), YourArray(:,6:end)], 2)

MATLAB: Simulate k nearest neighbourhood

Play with this:

x = rand(500,1) ; y = rand(500,1) ; 
l = kmeans([x y],4) ; 
figure
hold on
scatter(x,y,50,l,'o','filled')
N = 10 ; 
for i = 1:100
    % pick any point 
    [ptx,pty] = getpts() ; 
    idx = knnsearch([x y],[ptx pty],'k',N)' ;
    li = mean(l(idx)) ;
    text(ptx,pty,num2str(li))
    plot(ptx,pty,'*r')
    plot([ptx*ones(N,1) x(idx)]',[pty*ones(N,1) y(idx)]','r')
end

Best Answer

Related Solutions

MATLAB: Mean of row with column shifted

MATLAB: Simulate k nearest neighbourhood

Related Question