ECE5710

Computer image processing and pattern recognition

(ENG)

D Suter

6 points + 39 hours of lectures and practical work + Irregular availability + Clayton

Synopsis: Image processing: image formation and discretisation, pixel point operators, spatial implementation. Pattern recognition: binary vector component decision rules, Bayesian minimal risk formulations,sequential pattern recognition, fuzzy logic and stochastic production systems, minimal spanning trees, clustering methodologies, neural networks, application scope.

Assessment: Examinations (2 hours): 60% + Practical work: 40%