Automation script for image labeler apps (pixel labeling)

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Hi there,
I am learning to use image labeller (pixel labeling) to get ground truth data to train the deep learning model for my project. Currently, I have 1000 images and I labelled them manually using pixel labeling (manage to label 50 images after taking long time). This is very time consuming and I found out there is automation algorithm feature that helps to speed up this overall process. I do some research but seems like Matlab documentation only explains automation using pretrained network and it applies to video. What I want to learn is implementing the simple image processing technique below to my 1000 images and it can be applied to collection of images and not VIDEO.
%Simple script to read in image and post processed it using image processing technique (HSV). I use this script as a reference to label image using pixel labeling into "Healthy" and "Disease" category.
im = imread('testleaf2.jpg');
imHSV = rgb2hsv(im);
imT = imbinarize(imHSV(:,:,1),0.18);
figure,
subplot(121), imshow(im)
subplot(122), imshowpair(im,imT,'blend')
Please help and drop me a link for the related examples.
Thanks.

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