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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


Research Affiliations
  • School of Management and Enterprise

Field of Research
  • Artificial Intelligence and Image Processing
  • Information Systems


Application Open Date
28/02/2017

Application Close Date
31/12/2020

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




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