Postgraduate Course: Image Processing (PGEE11021)
Course Outline
School |
School of Engineering |
College |
College of Science and Engineering |
Course type |
Standard |
Availability |
Available to all students |
Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
Home subject area |
Postgrad (School of Engineering) |
Other subject area |
None |
Course website |
None |
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Course description |
Students study elements of image processing theory and application through the application of signal processing techniques.
Introduction: Human and Computer Vision Systems, Images and Image sampling, Transform; Basic Image Processing Operations: Histograms, Group Operations, Statistical Operators; Low-Level feature Extraction: First-order edge detection operators, Second-order edge detection operators;
Feature Extraction by Shape Matching: Thresholding and Subtraction, Template Matching, Hough Transform, Generalised Hough Transform; Flexible Shape Extraction: Deformable Templates, Snakes, Discrete Symmetry Operator, Flexible Shape Models; Object description: Shape and region descriptors, Boundary descriptions, Region descriptors; Texture, segmentation and classification: Texture measures structural and statistical, Classification approaches, Principal components analysis
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Entry Requirements
Pre-requisites |
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Co-requisites |
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Prohibited Combinations |
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Other requirements |
None
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Additional Costs |
Compulsory book purchase: Feature Extraction and Processing Mark Nixon and A. Aguado Butterworth Heinmann/ Newnes, now Elsevier 2002 |
Course Delivery Information
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Delivery period: 2010/11 Semester 1, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
King's Buildings | Lecture | | 1-11 | | | 11:10 - 12:00 | | | King's Buildings | Lecture | | 1-11 | | | | 09:00 - 09:50 | | King's Buildings | Tutorial | | 1-11 | | | | 10:00 - 10:50 | |
First Class |
First class information not currently available |
Summary of Intended Learning Outcomes
The students should enhance their skills in signal processing theory and applications and become familiar with techniques and processes that are applied to images. |
Assessment Information
100% closed-book formal written examination |
Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Prof Steve Mclaughlin
Tel: (0131 6)50 5578
Email: Steve.McLaughlin@ed.ac.uk |
Course secretary |
Mrs Kim Orsi
Tel: (0131 6)50 5687
Email: Kim.Orsi@ed.ac.uk |
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copyright 2010 The University of Edinburgh -
1 September 2010 6:25 am
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