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Module Title |
Computer and Machine Vision
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Module Code |
EE544
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School |
School of Electronic Engineering
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Online Module Resources
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| Module Co-ordinator | Prof Paul F. Whelan | Office Number | S362 |
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Level |
5
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Credit Rating |
7.5
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Pre-requisite |
None
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Co-requisite |
None
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Module Aims
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To introduce the student to the theory, applications and techniques of computer and machine vision. To provide students with an understanding of the problems involved in the development and implementation of vision systems.
This course will also give the student the skills and knowledge to evaluate new vision technologies.
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Learning Outcomes
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Having successfully completed this course, the student will
1. be familiar with the essential elements of computer and machine vision systems.
2. have the ability to design and implement image processing, analysis and classification techniques.
3. have a knowledge of the performance of commercial vision systems.
4. be able to evaluate emerging computer and machine vision technologies.
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Indicative Time Allowances
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Hours
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Lectures |
36
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Tutorials |
0
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Laboratories |
0
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Seminars |
0
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Independent Learning Time |
76.5
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Total |
112.5
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Placements |
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Assignments |
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NOTE
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Assume that a 7.5 credit module load represents approximately 112.5 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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· Introduction; Tutorial on course tools
· Sensors, Optics & Lighting; Image Representation
· Point Operations; Neighbourhood Operations
· Feature Extraction; Image Analysis
· Image Classification
· Image Transforms
· Morphology
· Texture Analysis
· Colour Analysis
· 3D Imaging Techniques
· Intelligent Vision
· Imaging Techniques; Sample Problems & Review
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| Assessment | | Continuous Assessment | 25% | Examination Weight | 75% |
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Indicative Reading List
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Course manual
Image processing, analysis and machine vision, M. Sonka, V. Hlavac and R. Boyle, Chapman & Hall (1993)
Additional texts
Selected papers on Industrial Machine Vision Systems, B.G. Batchelor and P.F. Whelan (Eds) SPIE Milestone Series MS 97, SPIE Optical Engineering Press, (1994)
Intelligent Vision Systems for Industry B.G. Batchelor and P.F. Whelan, Springler-Verlag. ISBN 3-540-19969-1 (1997)
On-line Internet teaching resources
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Programme or List of Programmes
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| BSSA | Study Abroad (DCU Business School) |
| BSSAO | Study Abroad (DCU Business School) |
| ECSA | Study Abroad (Engineering & Computing) |
| ECSAO | Study Abroad (Engineering & Computing) |
| GCES | Grad Cert. in Electronic Systems |
| GCTC | Grad Cert. in Telecommunications Eng. |
| GDE | Graduate Diploma in Electronic Systems |
| GTC | Grad Dip in Telecommunications Eng |
| HMSA | Study Abroad (Humanities & Soc Science) |
| HMSAO | Study Abroad (Humanities & Soc Science) |
| IFPES | PG Int. Foundation Prog.(Elec. Systems) |
| IFPTE | PG Int. Foundation Prog.: Telecomm.Eng |
| IPME | Individual Postgrad. Modules-Electronics |
| MEN | MEng in Electronic Systems |
| MTC | MEng in Telecommunications Engineering |
| SHSA | Study Abroad (Science & Health) |
| SHSAO | Study Abroad (Science & Health) |
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