Particle swarm optimization methods for pattern recognition and image processing

Particle swarm optimization methods for pattern recognition and image processing

Pattern recognition has as its objective to classify objects into different categories and classes. It is a fundamental component of artificial intelligence and computer vision. This thesis investigates the application of an efficient optimization method, known as Particle Swarm Optimization (PSO),...

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Bibliographic Details
Main Author: Omran, Mahamed G.H.
Other Authors: Engelbrecht, Andries P.
Published: 2013
Subjects:
Clustering
Color image quantization
Dynamic clustering
Image processing
Image segmentation
Optimization methods
Particle swarm optimization (PSO)
Pattern recognition
Spectral unmixing
Unsupervised image classification.
UCTD
Online Access:http://hdl.handle.net/2263/29826
Omran, M 2005, Particle Swarm Optimization Methods for Pattern Recognition and Image Processing, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/29826 >
http://upetd.up.ac.za/thesis/available/etd-02172005-110834/

Internet

http://hdl.handle.net/2263/29826
Omran, M 2005, Particle Swarm Optimization Methods for Pattern Recognition and Image Processing, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/29826 >
http://upetd.up.ac.za/thesis/available/etd-02172005-110834/

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