DocumentCode
3444521
Title
Color quantization with clustering by F-PSO-GA
Author
Alamdar, Fatemh ; Bahmani, Zahra ; Haratizadeh, Saman
Author_Institution
Fac. of Eng. & Technol., Alzahra Univ., Tehran, Iran
Volume
3
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
233
Lastpage
238
Abstract
Color quantization is a technique for processing and reduction colors in image. The purposes of color quantization are displaying images on limited hardware, reduction use of storage media and accelerating image sending time. In this paper a hybrid algorithm of GA and Particle Swarm Optimization algorithms with FCM algorithm is proposed. Finally, some of color quantization algorithms are reviewed and compared with proposed algorithm. The results demonstrate Superior performance of proposed algorithm in comparison with other color quantization algorithms.
Keywords
data compression; fuzzy set theory; genetic algorithms; image coding; image colour analysis; particle swarm optimisation; F-PSO-GA; FCM algorithm; color quantization algorithm; image processing; particle swarm optimization algorithm; Biomedical imaging; Gallium; Octrees; Clustering; Color quantization; FCM algorithm; Genetic algorithm; Particle Swarm Optimization(PSO)algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658548
Filename
5658548
Link To Document