extracting and filtering images from a 3D matrix?

Hello there, i am a noob to coding/matlab and would appreciate some help.

I have a 3d matrix (72x51x51) composed of 72 images. I am trying to determine a neurons preference for each of the images.

To do this i need to make a for loop that indexes each image from the 3d matrix, reshapes it into a 2d matrix and then performs a matrix multiplication on the image with a gabor filter. I then need to reshape it again into a one D matrix and sum the values of all the elements to recieve the firing rate of the neuron.

I know how to do this manually but cant get the right syntax for automating it into a loop.

Here is my code:

image7 = ms(13006:15606)

TwoDimage7 = reshape(image7,[51 51])

gfimage7 = gaborfilter .* TwoDimage7

OneDgfimage7 = reshape(gfimage7.',1,[])

nfr7 = sum(OneDgfimage7)

thank you.

Answer 1

[Dave B]

If you have a 3d matrix, can you do this simpler approach?

[edit: updated for the first dimension being slice/image]

nfr = nan(size(ms, 1), 1);
for i = 1:size(ms, 1)
    im = squueze(ms(i,:,:))      % rather than using linear indexing and reshape, just pull the 2d 'slice' out
    im_f = gaborfilter .* im;    % This copies your syntax, but assumes gaborfilter is the same size as each image...consider imfilter here?
    nfr(i) = sum(im_f, 'all');   % No need to reshape to take the grand sum, but you could also do sum(im_f(:)) if you really want to
end