ECE4710

Computer image processing and pattern recognition ( 4 points, SCA Band 2, 0.083 EFTSL)

Leader: D Suter

Offered:
Clayton First semester 2006 (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)