Postgraduate Course: Image Processing (PGEE11021)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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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| Course description |
Lectures and tutorials
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
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| Academic year 2015/16, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 11,
Formative Assessment Hours 1,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
62 )
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% closed-book formal written examination |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | Image Processing | 2:00 | |
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.
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Reading List
| Maria Petrou and Costas Petrou, Image Processing: The fundamentals, 2nd Edition, Wiley, 2010 |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | image signal processing, feature extraction, segmentation and classification, transforms |
Contacts
| Course organiser | Dr Javier Escudero Rodriguez
Tel:
Email: |
Course secretary | Mrs Sharon Potter
Tel: (0131 6)51 7079
Email: |
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