Color Quantization with Clustering By F-PSO-GA

摘要：

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 CA 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.

关键词： Clustering Color quantization FCM algorithm Genetic algorithm Particle Swarm Optimization(PSO)algorithm

作者: Fatemh Alamdar Zahra bahmani Saman Haratizadeh

作者单位: Faculty of Engineering and Technology Alzahra University Tehran, Iran Department of Computer Engineering Sharif University Tehran, Iran

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 233-238

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）