Module overview
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- How images can be digitised and stored in computers
- How computers can process digital images
- The relation to signal processing and other fields
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- How to extract features from images
- How to do linear and nonlinear filtering on images
- What segmentation is and how to do segmentation in digital images
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- How to use features to classify images for recognition
Syllabus
Learning and Teaching
| Type | Hours |
|---|---|
| Lecture | 24 |
| Revision | 10 |
| Wider reading or practice | 50 |
| Supervised time in studio/workshop | 24 |
| Follow-up work | 12 |
| Preparation for scheduled sessions | 12 |
| Completion of assessment task | 18 |
| Total study time | 150 |
Resources & Reading list
Textbooks
Nixon M S and Aguado A S (2012). Feature Extraction and Image Processing. Academic Press.
R.C. Gonzalez, R.E. Woods (2008). Digital Image Processing. Pearson International Edition.
W.K. Pratt (1991). Digital Image Processing. John Wiley.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Final Assessment | 70% |
| Continuous Assessment | 30% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Set Task | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Set Task | 100% |
Repeat Information
Repeat type: Internal & External