EE425

DCU School of Electronic Engineering

Course EE425

Image Processing and Analysis

Motivation:

This module will concentrate on developing the fundamentals necessary to design and develop a wide range of imaging solutions. Such solutions relate to the fields of computer and machine vision, video data processing, imaging graphics, imaging science, multimedia and enhanced reality systems.

Outcomes:

Having successfully completed this course, the student will:

have the ability to design and implement image processing, analysis and classification techniques.
be able to evaluate emerging image analysis and processing based technologies.

Recommended Texts:

Machine Vision Algorithms in Java: Techniques and Implementation, P.F. Whelan and D. Molloy (2000), Springer (London), 298 Pages. ISBN 1-85233-218-2.

Reference Texts:

Image Processing, Analysis and Machine Vision, M. Sonka, V. Hlavac and R. Boyle (1993), Chapman & Hall.
Fundamentals of Digital Image Processing. Jain, A.K. (1989), Prentice-Hall.
On-line Internet teaching resources.

Connect to the library to check the status of these books.

Coursenotes:

Coursenotes are available online to all registered students. These notes are password protected.

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