This unit covers fundamental techniques in image processing. Topics include image representation and enhancement, thresholding, image algebra, neighbourhood operations on images, Fourier methods, edge detection, feature extraction and representation, shape, texture, segmentation, classification, restoration, image compression, and colour and multiband image processing.
2 hrs lectures/wk, 1 hr laboratory/wk, 1 hr tutorial/wk
and up to an additional 8 hours in some weeks for completing lab and project work, private study and revision.
CSE3314
FIT2004 (or CSE2304) and FIT2014 (or CSE2303)
Loke Kar Seng
Sid Ray
At the completion of this unit students will have -
Developed the ability to:
Examination (3 hours): 70%; In-semester assessment: 30%
| Assessment Task | Value | Due Date |
|---|---|---|
| Assignment 1 | 10% | Week 6, Thursday |
| Assignment 2 | 20% | Week 12, Thursday |
| Examination 1 | 70% | To be advised |
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Software
These are freely available from:
JDK - http://www.oracle.com/technetwork/java/javase/downloads/jdk6-jsp-136632.html
Netbeans -http://netbeans.org/
Writing tools
| Week | Date* | Activities | Assessment |
|---|---|---|---|
| 0 | 21/02/11 | No formal assessment or activities are undertaken in week 0 | |
| 1 | 28/02/11 | Image Processing Fundamentals; Arithmetic Operations on Images | |
| 2 | 07/03/11 | Introduction to Image Enhancement Techniques; Linear Stretching | |
| 3 | 14/03/11 | Spatial Filtering Methods; Sharpening Filters | |
| 4 | 21/03/11 | Histogram Equalization; Line and Edge Detection | |
| 5 | 28/03/11 | Image Thresholding; Image Segmentation Methods | |
| 6 | 04/04/11 | Clustering-Based Image Segmentation; Region Growing; Splitting and Merging | Assignment 1 due Thursday this week |
| 7 | 11/04/11 | Texture Characterization; Co-occurrence Matrices; Entropy-Based Thresholding | |
| 8 | 18/04/11 | Image Filtering in Frequency Domain | |
| Mid semester break | |||
| 9 | 02/05/11 | Image Data Compression | |
| 10 | 09/05/11 | Image Representation and Description | |
| 11 | 16/05/11 | Image Recognition I | |
| 12 | 23/05/11 | Image Recognition II | Assignment 2 due Thursday this week |
| 30/05/11 | SWOT VAC | No formal assessment is undertaken SWOT VAC | |
*Please note that these dates may only apply to Australian campuses of Monash University. Off-shore students need to check the dates with their unit leader.
To pass a unit which includes an examination as part of the assessment a student must obtain:
If a student does not achieve 40% or more in the unit examination or the unit non-examination total assessment, and the total mark for the unit is greater than 50% then a mark of no greater than 49-N will be recorded for the unit
Assignment coversheets are available via
"Student Forms" on the Faculty website: http://www.infotech.monash.edu.au/resources/student/forms/
You MUST submit a completed coversheet with all assignments, ensuring
that the plagiarism declaration section is signed.
Submission must be made by the due date otherwise penalties will be enforced.
You must negotiate any extensions formally with your campus unit leader via the in-semester special consideration process: http://www.infotech.monash.edu.au/resources/student/equity/special-consideration.html.
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http://policy.monash.edu.au/policy-bank/academic/education/index.html
Key educational policies include:
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READING LIST
Recommended Reading
R. C. Gonzalez and R. E. Woods, Digital Image Processing using MATLAB, Prentice Hall, 2004. A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, 1990. W. Niblack, An Introduction to Digital Image Processing, PHI, 1986. D. H. Ballard and C. M. Brown, Computer Vision, Prentice-Hall, 1982. M. D. Levine, Vision in Man and Machine, McGraw?-Hill, 1995. R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision, McGraw?-Hill, 1995. C. Watkins, A. Sadun, and S. S. Marenka, Modern Image Processing: Warping, Morphing, and Classical Techniques, Academic Press, 1993. H. R. Myer and A. R. Weeks, The Pocket Handbook of Image Processing Algorithms in C, Prentice-Hall, 1993. S. E. Umbaugh, Computer Vision and Image Processing: a practical approach using CVIPtools, Prentice Hall PTR, 1998.