Particle swarm optimization approach for automatic multilevel image thresholding


Jahangir, Nadim (2012) Particle swarm optimization approach for automatic multilevel image thresholding. Masters thesis, Multimedia University.

Full text not available from this repository.


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.

Item Type: Thesis (Masters)
Additional Information: Call No.: TA1637 N33 2012
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 30 Sep 2014 01:17
Last Modified: 30 Sep 2014 01:17


Downloads per month over past year

View ItemEdit (login required)