ECE4710

Computer image processing and pattern recognition (4 points)

(ENG)

Leader: R A Jarvis

Offered:
Clayton Second semester 2003 (Day)
Clayton Second semester 2004 (Day)

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%

Contact Hours: 26 lectures, 26 hours of tutorial and laboratory classes

Prerequisites: ECE2702 or CSE1303 and MAT2902 or MTH2032