Research Thesis Topic
Using Image Processing Techniques for Food Nutrient Quantity Estimation
This project involves developing image processing algorithms to identify and classify food content on a plate to estimate neutrient quantity. The developed algorithms will be tested through series of pilot testing to improve their reliability and efficiency. This project will complement diabetic study I am conducting with Proj Raj Gururajan and several National and international collaborators.
- School of Management and Enterprise
- Artificial Intelligence and Image Processing
- Information Systems
Please review the admission requirements for the academic program associated with this Thesis Topic