Prof Donald Bailey staff profile picture

Contact details +6469517126

Prof Donald Bailey PhD

Professor in Imaging Systems

Doctoral Supervisor
School of Food and Advanced Technology

Professional

Contact details

  • Ph: +64 6 9517126
    Location: RC1.106, Riddet
    Campus: Manawatu

Qualifications

  • Doctor of Philosophy - University of Canterbury (1986)

Research Expertise

Research Interests

Digital image processing

FPGA based design of vision systems

Machine vision

Thematics

Resource Development and Management

Area of Expertise

Field of research codes
Arithmetic and Logic Structures (100601):
Artificial Intelligence and Image Processing (080100):
Circuits and Systems (090601):
Computer Hardware (100600):
Computer Vision (080104):
Electrical and Electronic Engineering (090600): Engineering (090000):
Image Processing (080106): Information And Computing Sciences (080000):
Logic Design (100603):
Signal Processing (090609):
Technology (100000)

Keywords

Image processing (machine vision, computer vision, robot vision)

Signal processing

FPGA based digital design

Research Projects

Completed Projects

Project Title: Embedded real-time intelligent vision based on field programmable gate arrays

Computer or robot vision is computationally intensive. The processing power required by many real-time vision applications is still taxing for high-end desktop machines. For mobile systems, it is becoming increasingly common to embed some of the processing within the camera, giving so-called smart cameras. This project took this one step further, implementing the vision algorithms in parallel hardware (in a field programmable gate array). As a case study of the techniques required, the vision system for robot soccer was implemented within an intelligent camera, where the task was to identify and determine the location and orientation of soccer playing robots. This had a number of advantages over the previous system. The resolution was increased by a factor of 4 (improving in spatial accuracy), the frame rate was increased by a factor of 2 (improving temporal accuracy), and stream processing reduced the latency by a factor of 200 (improving control). The image processing no longer requires a powerful computer just for the vision tasks, significantly reducing size and power of the system.
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Date Range: 2012 - 2012

Funding Body: Massey University

Project Team:

Project Title: Hardware Implementation of Video distortion Evaluation

The goal of this research project was to investigate and then implement the compression artefact evaluation framework and algorithms developed in the previous research into a hardware platform known as Field Programmable Gate Array. FPGA technology allows algorithms to be performed in hardware in such a way that distortion metric computation can be performed at very rapid clock speed using multiple processing engines. FPGA also enables performance optimization by rapid re-programming of the same FPGA core hardware. A compression algorithm like JPEG was implemented on an FPGA to reduce real time image data. The project developed number of methodologies, architectures and hardware routines to implement traditional image and video compression techniques to function in real time. Though there are many products using re-programmable hardware devices such as FPGAs, they were limited to some specific industries. The research worked done in this project and implementations can be adapted to other applications. Challenges faced by the team in implementing JPEG-like compression on FPGAs gave research team an opportunity to investigate in issues in depth. The lessons learnt are useful handing projects requiring similar techniques.
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Date Range: 2010 - 2011

Funding Body: Massey University

Project Team:

Teaching and Supervision

Contact Supervisor

Completed Doctoral Supervision

Main Supervisor of:

  • 2010 - Christopher Johnston - Doctor of Philosophy
    VERTIPTH: A visual environment for real-time image processing on hardware
  • 2009 - Andrew Gilman - Doctor of Philosophy
    Least-squares Optimal Interpolation for Direct Image Super-resolution
  • 2009 - Gardiyawasam Punchihewa - Doctor of Philosophy
    Synthetic Test Patterns and Compression Artefact Distortion Metrics for Image Codecs

Co-supervisor of:

  • 2023 - Po-Han Lai - Doctor of Philosophy
    Assessment of the relationship between kiwifruit skin topography and its quality and storability using fringe projection
  • 2022 - Abhipray Paturkar - Doctor of Philosophy
    Non-destructive and Cost-effective 3D Plant Growth Monitoring System in Outdoor Conditions
  • 2015 - Shujjat Khan - Doctor of Philosophy
    Segmentation of Continuous Sign Language
  • 2014 - Sureewan Rajchasom - Doctor of Philosophy
    Characterising the kinetics of high temperature browning in foods
  • 2013 - Alistair Scarfe - Doctor of Philosophy
    Development of an Autonomous Kiwifruit Harvester
  • view more...
  • 1993 - Phillip Ngan - Doctor of Philosophy
    The Development of a Visual Language for Image Processing Applications
  • view less...

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