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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Geosciences : Postgraduate Courses (School of GeoSciences)

Postgraduate Course: Theory of Image Processing (PGGE11062)

Course Outline
SchoolSchool of Geosciences CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaPostgraduate Courses (School of GeoSciences) Other subject areaNone
Course website http://www.geos.ed.ac.uk/postgraduate/MSc/mscprogrammes/remotesip/ Taught in Gaelic?No
Course descriptionA theory based course on Image Processing techniques concentrating on the mathematical and physical models underlying the processing operations. Digital image representation and sampling aspects are followed by various processing techniques including point by point operations, noise models, filtering and de-convolution techniques, edge and line detection, stereo imaging, target tracking and elementary pattern recognition.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
The course will concentrate on the underlying physics and mathematics of processing techniquies, we aim to cover in the common material:

1: linear image formation and its underlying assumptions,

2: digital representation of image, the discrete Fourier Transform, its properties and implementation, Shannon sampling theorem, interpolation to zeroth and first order,

3: first order image statistics, point-by-point processing and histogram manipulation,

4: fixed pattern noise and random noise including underlying physics of Gaussian additive noise and methods of it estimation,

5: linear filtering in real and Fourier space, non-linear filters including shrink and expand, average threshold and median,

6: image restoration by inverse and Weiner filter, outline of CLEAN and maximum entropy restoration,

7: tomographic system and reconstruction by Fourier inversion and filtered back projection, outline of fan-beam system.

8: edge and line detection by first and second order differential edge detection, Hough Transform and its applications,

9: stereo imaging in parallel and converging geometry, outline of automated depth extraction techniques,

10: tracking by correlation, basic of statistical pattern recognition, examples of simple classifiers.
Assessment Information
This course is assessed by:
one assignment(20%) and a written examination (80%).
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
KeywordsNot entered
Contacts
Course organiserDr Will Hossack
Tel: (0131 6)50 5261
Email: w.hossack@ed.ac.uk
Course secretaryMs Caroline Keir
Tel: (0131 6)50 2543
Email: caroline.keir@ed.ac.uk
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© Copyright 2011 The University of Edinburgh - 16 January 2012 6:32 am