Image Analysis & Applications - EL561

Location Term Level Credits (ECTS) Current Convenor 2018-19
Canterbury
(version 3)
Spring
View Timetable
5 15 (7.5) PROF G Howells

Pre-requisites

EENG3180 (EL318) ENGINEERING MATHEMATICS
COMP3220 (CO322) FOUNDATIONS OF COMPUTING

Restrictions

None

2018-19

Overview

The module introduces fundamental techniques employed in image processing and pattern recognition providing an understanding of how practical pattern recognition systems may be developed able to address the inherent difficulties present in real world situations. The material is augmented with a study of biometric and security applications looking at the specific techniques employed to recognise biometric samples.

Details

This module appears in:


Contact hours

Total contact hours: 35
Private study hours: 115
Total study hours: 150

Method of assessment

Examination (70%)
Coursework (30%)

Indicative reading

See http://readinglists.kent.ac.uk

See the library reading list for this module (Canterbury)

See the library reading list for this module (Medway)

Learning outcomes

1. An understanding of three main integrated themes:
(i) basic image processing (representation, transformation, extraction of key information from images);
(ii) image analysis (automatic interpretation of images and pattern recognition methodology) and
(iii) computational architectures for image analysis (especially neural network structures).
2. A familiarity with fundamental algorithms underpinning modern image analysis systems.
3. Experience of the requirements for implementing algorithms for image analysis.
4. A practical experience of working with typical algorithms and architectures.

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