DocumentCode
3049449
Title
A Swarm Intelligence Based Color Image Quantization Algorithm
Author
Wang, Ziqiang ; Sun, Xia ; Zhang, Dexian
Author_Institution
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou
fYear
2007
fDate
6-8 July 2007
Firstpage
592
Lastpage
595
Abstract
The particle swarm optimization (PSO) algorithm, is a robust stochastic evolutionary algorithm based on the movement and intelligence of swarms. In this paper, a PSO-based algorithm for color image quantization is presented. Compared with other well-known color image quantization algorithm in commonly used images, the proposed algorithm is effective and achieves a quite fast executing speed.
Keywords
data compression; evolutionary computation; image coding; image colour analysis; particle swarm optimisation; color image quantization algorithm; particle swarm optimization; stochastic evolutionary algorithm; swarm intelligence; Clustering algorithms; Color; Displays; Image storage; Information science; Particle swarm optimization; Pixel; Quantization; Robustness; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.155
Filename
4272639
Link To Document