[MSc] [Resources] [Terminology] [MCQs]


   

Recommended Resources

Text Books

[1] Sonka, Hlavac and Boyle, Image Processing, Analysis and Machine Vision, Chapman and Hall, London, 1993.
[2] Davies, Machine Vision, Theory Algorithms and Practicalities, 2nd Ed. Academic Press, 1997.
[3] Schalkoff, Digital Image Processing and Computer Vision,John Wiley and Sons Inc. 1989.
[4] Jain, Kasturi and Schunk, Machine Vision, McGraw and Hill International Editions, 1995.
[5] Gonzalez and Woods, Digital Image Processing
[6] C.W.Therrien, Decision Estimation and Classification, John Wiley and Sons, 1989.
[7] C.M.Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
[8] R.J.Barlow, Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences, John Wiley and Sons, 1989.
[9] Forsythe and Ponce, Computer Vision: a Modern Approach, Prentice Hall, 2003.
[10] Solomon and Breckon, Fundamentals of Digital Image Processing, Wiley-Blackwell, 2011.

Course specific references:

Computer Vision and Images [1] chapter 2, [3] chapter 2 and [5] section 2.5.2, [9] chapter 11, [10] chapter 1.
Simple Image Processing [3] chapter 4.2-4.3, [2] appendix C, [10] chapter 3.
Spatial Frequency and Convolution [1] chapter 2, [4] section 4.2, [9] chapter 7, [10] chapter 5.
Image Noise/Corruption [1] page 40, [2] page 23, [10] chapter 2.
Linear Filters [1] section 4.3.2, [2] chapter 5, [4] Section 4.3 and 4.5, [9] chapter 7.
Rank Filters [1] chapter 10, [4] Section 2.6.
Region Segmentation [1] chapter 5
Edge and Corner Detection [1] section 5.2, [2] section 13.10-13.13, [5] section 7.2, [9] chapter 8, [10] chapter 10.
Probability and Statistics [6] chapter 1 & 7, [8]
Pattern Recognition [3] chapter 6, [6] chapter 2 & 3, [7], [10] chapter[11].

Web Resources

CVonline CVonline is described as "a collection of hypertext summaries on the central topics in computer vision". It is probably unsurpassed as a central index for computer vision techniques and is particularly useful as a starting point to new ideas and techniques.
Statisitics Resources Another extensive index this time focusing on Statistics. This list includes many links to free statistics software and algorithms as well as links to statistics teaching material.
British Machine Vision Association The BMVA represent researchers in the machine vision field in a similar vein to the IEE and the BCS and each year hold one of the premiere vision conferences, the British Machine Vision Conference. Online versions of some of the most recent conferences are available from this link.
ISBE The Imaging Sciences and Bio-medical Engineering Division here at the University of Manchester.

Local Resources

Assorted resources stored locally in postscript form unless otherwise stated.

Mathematical Notation and Exercises Introduction and exercises to be performed on the first day
Problem based learning exercise questions An assortment of questions that will be tackled during the course
Error propagation tutorial -
Neural networks tutorial -
Statistics tutorial -


(c) Imaging Science and Biomedical Engineering 2000 [paul.bromiley@man.ac.uk]

Valid HTML 4.01!