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 |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 8,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
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| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Image Processing | 2:00 | | |
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 |
Lectures and tutorials |
| Transferable skills |
Not entered |
| Reading list |
Maria Petrou and Costas Petrou, Image Processing: The fundamentals, 2nd Edition, Wiley, 2010 |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | image signal processing, feature extraction, segmentation and classification, transforms |
Contacts
| Course organiser | Dr Tharmalingam Ratnarajah
Tel: (0131 6)50 5578
Email: T.Ratnarajah@ed.ac.uk |
Course secretary | Mrs Sharon Potter
Tel: (0131 6)51 7079
Email: Sharon.Potter@ed.ac.uk |
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