Particle swarm optimization approach for automatic multilevel image thresholding

Thresholding is an important image processing technique that is often used for image segmentation. It is a mature research topic and numerous methods have been proposed over the last few decades for both bi-level and multilevel thresholding. But automatic determination of the appropriate number of t...

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Main Author: Jahangir, Nadim
Format: Thesis
Published: 2012
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id my-mmu-ep.5761
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spelling my-mmu-ep.57612014-09-30T01:17:29Z Particle swarm optimization approach for automatic multilevel image thresholding 2012-09 Jahangir, Nadim TA Engineering (General). Civil engineering (General) Thresholding is an important image processing technique that is often used for image segmentation. It is a mature research topic and numerous methods have been proposed over the last few decades for both bi-level and multilevel thresholding. But automatic determination of the appropriate number of thresholds and, at the same time, determining corresponding optimal threshold values is still an open problem. This research addresses this problem and proposes an automatic multilevel thresholding method based on particle swarm optimization. 2012-09 Thesis http://shdl.mmu.edu.my/5761/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Computing and Informatics
institution Multimedia University
collection MMU Institutional Repository
topic TA Engineering (General)
Civil engineering (General)
spellingShingle TA Engineering (General)
Civil engineering (General)
Jahangir, Nadim
Particle swarm optimization approach for automatic multilevel image thresholding
description Thresholding is an important image processing technique that is often used for image segmentation. It is a mature research topic and numerous methods have been proposed over the last few decades for both bi-level and multilevel thresholding. But automatic determination of the appropriate number of thresholds and, at the same time, determining corresponding optimal threshold values is still an open problem. This research addresses this problem and proposes an automatic multilevel thresholding method based on particle swarm optimization.
format Thesis
qualification_level Master's degree
author Jahangir, Nadim
author_facet Jahangir, Nadim
author_sort Jahangir, Nadim
title Particle swarm optimization approach for automatic multilevel image thresholding
title_short Particle swarm optimization approach for automatic multilevel image thresholding
title_full Particle swarm optimization approach for automatic multilevel image thresholding
title_fullStr Particle swarm optimization approach for automatic multilevel image thresholding
title_full_unstemmed Particle swarm optimization approach for automatic multilevel image thresholding
title_sort particle swarm optimization approach for automatic multilevel image thresholding
granting_institution Multimedia University
granting_department Faculty of Computing and Informatics
publishDate 2012
_version_ 1747829588246921216