ECE4710 - Computer image processing and pattern recognition

Leader: D Suter

Offered

Clayton First semester 2007 (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 practice classes and laboratory classes

Prerequisites

ECE2702 (or CSE1303) and MAT2902 (or MTH2032)