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...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Published: |
2012
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-mmu-ep.5761 |
---|---|
record_format |
uketd_dc |
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 |