EENG3180 (EL318) ENGINEERING MATHEMATICS
COMP3220 (CO322) FOUNDATIONS OF COMPUTING
OverviewThe 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.
This module appears in:
Total contact hours: 35
Private study hours: 115
Total study hours: 150
Method of assessment
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.