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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.

Principal Supervisor

Professor Raj Gururajan

Associate Supervisors
Research Affiliations
  • School of Management and Enterprise
Field of Research
  • Artificial Intelligence and Image Processing
  • Information Systems
Available Academic Programs
  • Doctor of Philosophy (DPHD)
  • Doctor of Philosophy (DPHD)
  • Master of Research (MRES)
Application Open Date
28/02/2017
Application Close Date
31/12/2020
USQ Scholarship Applications
Yes
Pre-approved for Ethics
Not Applicable
Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic


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