๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Dynamic clustering using particle swarm optimization with application in image segmentation

โœ Scribed by Mahamed G. H. Omran; Ayed Salman; Andries P. Engelbrecht


Publisher
Springer-Verlag
Year
2005
Tongue
English
Weight
614 KB
Volume
8
Category
Article
ISSN
1433-7541

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Infrared image segmentation with 2-D max
โœ Du Feng; Shi Wenkang; Chen Liangzhou; Deng Yong; Zhu Zhenfu ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 175 KB

The 2-D maximum entropy method not only considers the distribution of the gray information, but also takes advantage of the spatial neighbor information with using the 2-D histogram of the image. As a global threshold method, it often gets ideal segmentation results even when the imageร•s signal nois

Optimal congestion management in an elec
โœ Panida Boonyaritdachochai; Chanwit Boonchuay; Weerakorn Ongsakul ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 600 KB

This paper proposes an optimal congestion management approach in a deregulated electricity market using particle swarm optimization with time-varying acceleration coefficients (PSO-TVAC). Initially, the values of generator sensitivity are used to select redispatched generators. PSO-TVAC is used to d