Research Thesis Topic
Using Image Processing Techniques for Food Nutrient Quantity Estimation
Topic ID
111
Thesis Topic/Title
Using Image Processing Techniques for Food Nutrient Quantity Estimation
Description
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.
Associate Supervisors
Research Affiliations
- School of Management and Enterprise
Field of Research
- Artificial Intelligence and Image Processing
- Information Systems
Available Academic Programs
Application Open Date
28/02/2017
Application Close Date
31/12/2019
USQ Scholarship Applications
Pre-approved for Ethics
Not Applicable
Admission Requirements
Please review the admission requirements for the academic program associated with this Thesis Topic