Hi Frederic,
I understand that you want to analyse the accumulated change of the intermixing region between 900 images in a single image. You could do it by iterating through all your images, capturing the difference between consecutive images, and then use the captured differences to create a histogram or any other data visualization plot. Here is an example script on how you could go about doing it:
% Initialize a variable to hold the differences
imageChanges = [];
% Specify the directory where the images are stored
imageDir = 'path_to_your_images'; % Change this to your images directory
imageFiles = dir(fullfile(imageDir, '*.jpg')); % Change the extension if needed
% Loop over all images to calculate the accumulated change
for i = 2:length(imageFiles)
% Read the current and previous image
currentImage = imread(fullfile(imageDir, imageFiles(i).name));
previousImage = imread(fullfile(imageDir, imageFiles(i-1).name));
% Calculate the absolute difference between the current and previous image
% You could also use deltaE - it computes Color difference based on CIE76 standard.
imageChange = abs(double(currentImage) - double(previousImage));
% Accumulate the change
imageChanges(end + 1) = imageChange
end
Once you have the difference's in the 'imageChanges' array, you could use it to to generate various plots and analyze the changes.
Hope this helps!
