Department of Mathematical Sciences: Division of Applied Mathematics
TW345 Digital Image Processing
Course Information 2006 Lecturer
Dr J. Coetzer. Office: A414. Telephone: (021) 808-4221. Email: jcoetzer@sun.ac.za
Prescribed Textbook
R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice-Hall, (Second Edition) 2002. It is available at Van Schaik (Neelsie) for R 325.95. If you ordered the book via Dr Els, it can be collected at room C210 (Process Engineering).
Web Page
Course documentation is at http://dip.sun.ac.za/ e hanno/tw345.html
Lectures
Day Time Venue Tuesday 09:00-09:50 A407 Wednesday 09:00-09:50 A407 Thursday 09:00-09:50 A407
Assignments
An assignment is handed out more or less every second week. Each assignment primarily contains computer-orientated problems that you have to solve in Matlab. You are however free to use another programming language, like Python. After the completion of each assignment, you have to hand in a neat printed report. The due dates for these reports are indicated below. Late reports will not be accepted.
Question session
Every Thursday afternoon at 14:00 there will be an informal question session in room A407. During this session you can ask questions on the relevant assignments and discuss the assignments among yourselves. These questions are usually on Matlab and certain concepts discussed in class. If necessary lectures may from time to time be presented in this time slot.
Continuous Evaluation and Performance Mark
This module is evaluated continuously. Your performance mark is a weighted average of your assignment marks, as indicated below. Performance Mark Subject Point processing Spatial filters, template matching Filters in the frequency domain Restoration, compression Morphological filters Segmentation, description, colour
Assignment 1 2 3 4 5 6
Due date Weight 8 August 2006 15% 22 August 2006 15% 19 September 2006 15% 3 October 2006 15% 17 October 2006 20% 30 October 2006 20% 100%
Course Planning
TW 345
Second Semester 2006
This outline may be adjusted slightly.
Week 1
Date Mo, 24 Jul Tu, 25 Jul We, 26 Jul Th, 27 Jul Tu, 1 Aug We, 2 Aug Th, 3 Aug Tu, 8 Aug We, 9 Aug Th, 10 Aug Tu, 15 Aug We, 16 Aug Th, 17 Aug Tu, 22 Aug We, 23 Aug Th, 24 Aug Tu, 29 Aug We, 30 Aug Th, 31 Aug
Lecture
2
3
4
5
6
1
2
3
4
5
6
Mo, 18 Sep Tu, 19 Sep We, 20 Sep Th, 21 Sep Tu, 26 Sep We, 27 Sep Th, 28 Sep Tu, 3 Oct We, 4 Oct Th, 5 Oct Tu, 10 Oct We, 11 Oct Th, 12 Oct Tu, 17 Oct We, 18 Oct Th, 19 Oct Tu, 24 Oct We, 25 Oct Th, 26 Oct Fr, 27 Oct Mo, 30 Oct
Sections in the Subject textbook LECTURES START 1 1,2 Orientation, fundamentals, overview 2 3.1,3.2,3.4 Basic grey scale transformations 3 3.3 Histogram equalization 4 3.5-3.8 Spatial filters 5 3.5-3.8 Spatial filters 6 Notes Fourier analysis (overview/revision) 7 1 Notes Fourier analysis (overview/revision) Public holiday 8 4.1-4.2.3 DFT 9 4.1-4.2.3 DFT 10 4.2.4 Filters: spatial/frequency domain 11 4.3,4.4,4.5 Filters: frequency domain 12 2 4.3,4.4,4.5 Filters: frequency domain 13 4.6 Implementation 14 4.6 Implementation 15 5 Image restoration 16 5 Image restoration 17 5 Image restoration TEST WEEK SEPTEMBER HOLIDAYS LECTURES RESUME 18 3 8 Image compression 19 8 Image compression 20 8 Image compression 9 Morphological filters 21 9 Morphological filters 22 9 Morphological filters 23 4 9 Morphological filters 24 10 Image segmentation 25 10 Image segmentation 26 10 Image segmentation 27 10 Image segmentation 28 11 Representation and description 29 5 11 Representation and description 30 11 Representation and description 31 11 Representation and description 32 6 Colour processing 33 6 Colour processing 34 6 Colour processing LECTURES END 6
Assignment due
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