Module Descriptors
IMAGE PROCESSING, COMPUTER VISION AND PATTERN RECOGNITION
COSE60267
Key Facts
Faculty of Computing, Engineering and Sciences
Level 6
15 credits
Contact
Leader: Robert Hobbs
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
  • ASSIGNMENT weighted at 50%
  • EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
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