Registry
Module Specifications
Archived Version 2003 - 2004
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Module Aims
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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.
This module will make extensive use of the NeatVision image analysis development environment to reinforce all the issues covers during the lectures.
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Learning Outcomes
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Having successfully completed this course, the student will:
1. have the ability to design and implement image processing, analysis and classification techniques.
2. be able to evaluate emerging image analysis and processing based technologies
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Indicative Time Allowances
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Hours
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Lectures |
24
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Tutorials |
0
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Laboratories |
20
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Seminars |
0
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Independent Learning Time |
31
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Total |
75
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Placements |
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Assignments |
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NOTE
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Assume that a credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.
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Indicative Syllabus
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| Assessment | | Continuous Assessment | 25% | Examination Weight | 75% |
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Indicative Reading List
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Recommended text:
7 Image Processing, Analysis and Machine Vision, M. Sonka, V. Hlavac and R. Boyle (1993), Chapman & Hall. Additional texts:
7 Fundamentals of Digital Image Processing. Jain, A.K. (1989), Prentice-Hall.
7 On-line Internet teaching resources.
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Programme or List of Programmes
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| EE | BEng in Electronic Engineering |
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