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 :
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