I have no idea how your cell array is shaped (is it actually a 4D cell array?) and there's no indication where the variable 'al' came from.
If I have to interpret what this means, I'm just going to assume the cell array is 2D. If it's not, then you'll have to adapt the example.
% read an image, replicate it
A = imread('peppers.png');
images = repmat({A},5,5);
% modify each copy so the profiles vary
for k = 1:numel(images)
images{k} = imnoise(images{k},'gaussian',0,0.01);
end
% path coordinates
x = [1 301];
y = [1 189];
% use at least somewhat meaningful variable names
idxr = [2 4]; % row indices of images
idxc = [1 3 5]; % col indices of images
nr = numel(idxr);
nc = numel(idxc);
k = 1;
for kr = 1:nr
for kc = 1:nc
subplot(nr,nc,k) % put things in separate subplots
improfile(images{idxr(kr),idxc(kc)},x,y);
k = k+1;
end
end
Passing the output of improfile() to plot() doesn't work like that. Unless you actually specify output arguments, improfile() plots the profile itself. If you want to use plot(), call improfile() separately with an appropriate number of output arguments, then use those outputs to construct something that's appropriate for plot() to use.
