Module Learning Strategies
Two lectures per week.
One pratical per week.
(1:n)2 (1:20)1
Module Indicative Content
Further Image Processing( Morphological operations, Region Analysis), Frequency Domain analysis of signals (Fourier/Wavelet/Cosine Transforms). Image Compression. Introductory Pattern Recognition (Feature extraction, feature spaces), Statistical PR (Distance functions, clustering, discriminant functions). Neural Correlates of Statistical PR. Introductory Computer Vision. Colour Physics.
Module Additional Assessment Details
50% Assignment (learning outcomes 2, 3)
50% Examination length 2 hours (learning outcomes 1, 3)
Module Resources
C/C++ and JAVA
Module Special Admissions Requirements
Prior study of Imaging and Special Effects or equivalent.
Module Texts
R.C. Gonzalez, R.E.Woods, Digital Image Processing, Addison Wesley, 2002, ISBN: 0130946508
M. Sonka, V. Hlavac, R. Boyle, Image Processing, Analysis, and Machine Vision, 2nd Ed., International Thomson Publishing, 1999, ISBN: 053495393X
R. Schalkov, Pattern Recognition: Statistical, Structural, and Neural Approaches., John Wiley, 1992, ISBN: 0471529745