Hi Bryce,
According to the documentation you’re following, the next step for you is to create an ‘imageDatastore’ that reads the mask data as a binary matrix.
I would suggest you to try this possible solution for the same.
1. After converting polygon labels into binary masks, you can save each mask stack in a .mat file with a suitable name (For eg: maskStack1.mat for the first image). You can put all these individual mask stack files in a ‘MaskStackFolder’ folder.
2. Now, define a custom read function that should take a file path as input and return the binary mask stack in the expected format. Refer to the following code snippet:
function mask = customReadFcn(filename)
% Load the data from the .mat file
loadedData = load(filename);
% Assuming the variable containing the mask stack is named 'maskStack'
mask = loadedData.maskStack;
% Ensure you are using correct variable name as per your naming
end
3. You can now create an ‘imageDatastore’ with this folder and custom read function.
maskFolder = "C:\MATLAB\MaskStackFolder"; % Replace with the actual path to your mask stack folder
% Create an imageDatastore for the mask stacks
masksDatastore = imageDatastore(maskFolder, 'ReadFcn', @customReadFcn);
Ensure that the order of the mask stacks in the ‘imageDatastore’ corresponds to the actual order of the images in the previously create image datastore for images.
I hope this answer is able to help you!
