ECE4710

Computer image processing and pattern recognition

(ENG)

R A Jarvis

4 points + 26 lectures, 26 hours of tutorial and laboratory classes + Second semester + Clayton + Prerequisites: ECE2702 and MAT2902 + Prohibitions: ECS3382, ECE5710, ECS5382

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: Examination (3 hours): 70% + Laboratory and assignment work: 30%