Artificial intelligence-based image enhancement and segmentation

This project aims to convert low-resolution CT images of large samples to super-resolution by using artificial intelligence (AI)-based image processing algorithms.

AI algorithms are supposed to be used to split connected particles in CT images. Then, the particle volume, particle surface area and interparticle contact areas will be computed from the enhanced super-resolution CT images. The values will be compared with their counterparts derived from the low-resolution CT images before enhancement.