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Particle swarm optimization methods for pattern recognition and image processing
Thesis (PhD)--University of Pretoria, 2006.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613483449712640 |
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| access_status_str | Open Access |
| author2 | Engelbrecht, Andries P. |
| author_browse | Engelbrecht, Andries P. |
| author_facet | Engelbrecht, Andries P. |
| collection | Thesis |
| dc_rights_str_mv | © 2005, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD)--University of Pretoria, 2006. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/29826 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:36:52.135Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/29826 Particle swarm optimization methods for pattern recognition and image processing Engelbrecht, Andries P. mjomran@yahoo.com Salman, Ayed Omran, Mahamed G.H. Clustering Color image quantization Dynamic clustering Image processing Image segmentation Optimization methods Particle swarm optimization (PSO) Pattern recognition Spectral unmixing Unsupervised image classification. UCTD Thesis (PhD)--University of Pretoria, 2006. 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), to the field of pattern recognition and image processing. First a clustering method that is based on PSO is proposed. The application of the proposed clustering algorithm to the problem of unsupervised classification and segmentation of images is investigated. A new automatic image generation tool tailored specifically for the verification and comparison of various unsupervised image classification algorithms is then developed. A dynamic clustering algorithm which automatically determines the "optimum" number of clusters and simultaneously clusters the data set with minimal user interference is then developed. Finally, PSO-based approaches are proposed to tackle the color image quantization and spectral unmixing problems. In all the proposed approaches, the influence of PSO parameters on the performance of the proposed algorithms is evaluated. Computer Science unrestricted 2013-09-07T16:50:28Z 2005-02-22 2013-09-07T16:50:28Z 2005-02-15 2006-02-22 2005-02-17 Thesis 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://hdl.handle.net/2263/29826 http://upetd.up.ac.za/thesis/available/etd-02172005-110834/ © 2005, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria |
| spellingShingle | Clustering Color image quantization Dynamic clustering Image processing Image segmentation Optimization methods Particle swarm optimization (PSO) Pattern recognition Spectral unmixing Unsupervised image classification. UCTD Particle swarm optimization methods for pattern recognition and image processing |
| title | Particle swarm optimization methods for pattern recognition and image processing |
| title_full | Particle swarm optimization methods for pattern recognition and image processing |
| title_fullStr | Particle swarm optimization methods for pattern recognition and image processing |
| title_full_unstemmed | Particle swarm optimization methods for pattern recognition and image processing |
| title_short | Particle swarm optimization methods for pattern recognition and image processing |
| title_sort | particle swarm optimization methods for pattern recognition and image processing |
| topic | Clustering Color image quantization Dynamic clustering Image processing Image segmentation Optimization methods Particle swarm optimization (PSO) Pattern recognition Spectral unmixing Unsupervised image classification. UCTD |
| url | http://hdl.handle.net/2263/29826 http://upetd.up.ac.za/thesis/available/etd-02172005-110834/ |