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 |
Taught in Gaelic? | No |
| 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 (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | Compulsory book purchase: Feature Extraction and Processing Mark Nixon and A. Aguado Butterworth Heinmann/ Newnes, now Elsevier 2002 |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2012/13 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 | | | | 09:00 - 09:50 | | | King's Buildings | Tutorial | | 1-11 | | | | 10:00 - 10:50 | | | King's Buildings | Lecture | | 1-11 | | | | 12:10 - 13:00 | |
| First Class |
First class information not currently available |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
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| Main Exam Diet S1 (December) | Image Processing | 1:30 | | |
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 |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | image signal processing, feature extraction, segmentation and classification, transforms |
Contacts
| Course organiser | Prof Steve Mclaughlin
Tel: (0131 6)50 5578
Email: |
Course secretary | Mrs Kim Orsi
Tel: (0131 6)50 5687
Email: |
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