YJ - if all images are of the same dimension, 768x768, then try the following
% pre-allocate (or pre-size) a matrix to store all 500 2D images
numImages = 500;
allImages = uint8(zeros(768,768,numImages));
% change directory to the folder where there files are
cd 'D:\data\Mean process shot\1250\ '; %2D images location
% load the images
for k=1:numImages
% construct the file name
filename = ['Process_shot_f' num2str(k) '.mat'];
% load the data from file
dataStruct = load(filename);
% save the data to the 3D array
allImages(:,:,k) = dataStruct.(char(fields(dataStruct)));
end
Since the load function returns a struct, then data is a struct whose fields are all the variables that have been saved to the mat file. If we assume that there is just one variable per file, the 768x768 image, then we can use the fields function to return the fields of data, convert it to a string via char, and then use it to access that image from data as
data.(char(fields(data)))
We then save that 2D image to the 3D array, in the kth slot.
Note that the code also assumes that each image is of type uint8. If this is not the case, then you can just replace the line
allImages = uint8(zeros(768,768,numImages));
with the equivalent "cast" in place of uint8.
