Group-wise mean in multi-dimensional array (part II)

I have a 256*256*515 double array. It represents 515 images by the dimension of 256*256. Along the 515 axis, every 5 images belong to the same group. I would like to take the element-wise block mean every 5 elements such that my cell array may be condensed into 256*256*103. How may I do that?

I had success applying reshape function to 2D arrays, but am not quite sure how to proceed in this case.

Thank you very much!

Answer 1

[the cyclist]

This works, right?

M = rand(256,256,515); % Use your actual data here
M_r = reshape(M,256,256,103,5);
M_r_mean = mean(M_r,4);

[Brian]

Ah! I think it worked beautifully. I really appreciate your help!

[dpb]

Ah-so, cycler! Wasn't thinking of using another dimension earlier. That's very good; will have to remember that going forward.

[Brian]

Thank you both!