Each week, you will have on hour of practicals on image processing techniques using MATLAB.

The topics studied will closely follow the structure of the course. The first two weeks will be dedicated to an introduction to MATLAB environment (week 1) and programming (week 2) with examples applicable to image processing. The MATLAB helps and manuals are available online and can also be found in this web page (see link below). You will be expected to work in your spare time to get expertise in MATLAB programming. MATLAB will be part of your assignment. It is a very powerful tool and you will be able to do a lot with it if you put the effort in in the first place. This page will be updated as we progress into the course.

The Program of work is as follows:

• Week1: Introduction to Matlab. Matlab environment. Image handling and display with Matlab.

• Week2: Matlab programming. Script, functions and example of programs. Sample programs for Fourier transforms.

• Week3: Fourier analysis, phase and amplitude analysis of the spectrum. Basic texture descriptors. Image formats. JPEG encoding and DCT transform.

• Week4: Image enhancement. Histogram equalisation and specification. Basic Histogram based segmentation.

• Week5: Filtering. Space domain and frequency domain filtering. Fourier Analysis of filters.

• Week6: Image Modelling. Fractals and Markov Random field examples.

• Week7: Segmentation example. Unsupervised segmentation and K-means programs.

• Week8: Classification. Basics examples of linear and Bayesian classifiers.

Available material for week8:

Recommended Text

• Digital Image Processing

R.C. Gonzalez and R.E Woods (Wintz in editions 1 & 2)
 
• Two Dimensional Signal and Image Processing

Jae S Lim
 
• Handbook of Image and Video Processing

Al Bovik Editor
Academic Press
 
• Image Processing, Analysis and Machine Vision

Sonka, Hlavac and Boyle
 

On line Ressources

Online Courses
 

• Hypermedia Image Processing Reference

HIPR - Access from CEE Unix Machimes
HIPR - Access from CEENT Machines
 
Note that due to the licence this is not available through PC-Caledonia


• Digital Image Processing (DIP) with Khoros 2
  http://www.khoral.com/contrib/contrib/dip2001/index.html
  
  
• HIPR2: free www-based set of tutorial materials for the 50 most commonly used image processing operators. It contains tutorial text, sample results and JAVA demonstrations of individual operators and collections.


http://www.dai.ed.ac.uk/HIPR2/
 
• Image Processing fundamentals

http://www.ph.tn.tudelft.nl/Courses/FIP/frames/fip.html
 
•  CVonline: The Evolving, Distributed, Non-Proprietary On-Line Compendium of Computer Vision

http://www.dai.ed.ac.uk/CVonline/
 
• Vision Systems

http://www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html

Databases and ressources
 

• Signal Processing Information Base (SPIB)

http://spib.rice.edu/spib.html
 
• efg's Image Processing Page

http://www.efg2.com/lab/library/ImageProcessing/Default.htm
 
• Computer Vision Home Page

Various informations on computer vision, FAQs, Test images, Demos... 
http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html


• Pattern Recognition Information

http://www.ph.tn.tudelft.nl/PRInfo.html
 
• Some Internet Resources for Mathematical Modelling

http://www.ifi.uio.no/~matmod/matmod-hotlist.shtml
 
• Wavelet informations

http://www.mathsoft.com/wavelets.html
http://www.wavelet.org/wavelet/links.html
 
• The Face Recognition Home Page

http://www.cs.rug.nl/~peterkr/FACE/face.html
 

Image Processing Applications:

	Improvement of pictorial information for human interpretation
	Processing of scene data for autonomous machine perception

Image Processing Techniques:

	Enhancement
	Process image to give a result that is more suitable than the original for a given application
	Restoration
	Process that attempts to reconstruct or recover an image that has been degraded by using some a priori knowledge of the degradation
	Encoding
	Techniques for representing an image with fewer bits
	Segmentation
	Descriptions of image components rather than whole images
	Understanding
	Symbolically represents contents of an image

Matlab Help Guides

Matlab online help and tutorials can be found here.

The Image processing toolbox online help and tutorials can be found here.

The Image processing toolbox pdf tutorial can be found here.

NOTE: Clipart from http://www.signgray.demon.co.uk/clipart/

This page was adapted from Dr Judith Bell Page. I wish to thank her for her help and support in preparing this course.