Image segmentation example, meant for biomedical images such as nuclear medicine, CT etc.

The main purpose is to automate ROI creation over solid organs and pars such as liver or heard's ventricles.
Isolevel creation is based on works of http://paulbourke.net/papers/conrec et al while contouring algorithm spun off of http://cyberleninka.ru/article/n/algoritm-postroeniya-kontura-ploskoy-figury

Following thresholding methods available

1. Laplacian of Gaussian filter
2. Otsu histogram

It can read JPEG and DICOM images, for latter dcm4che is needed.

Ensure you have Roim library available.

it is far from being complete but workin'

Cheers, I.