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Color quantization with clustering by F-PSO-GA

Alamdar, F ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ICICISYS.2010.5658548
  3. Abstract:
  4. 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
  5. Keywords:
  6. Clustering ; Color quantization ; Genetic algorithm ; FCM algorithm ; Hybrid algorithms ; Particle swarm optimization algorithm ; Particle swarm optimization(PSO)algorithm ; Storage media ; Color ; Genetic algorithms ; Intelligent computing ; Intelligent systems ; Particle swarm optimization (PSO) ; Clustering algorithms
  7. Source: Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010, 29 October 2010 through 31 October 2010 ; Volume 3 , 2010 , Pages 233-238 ; 9781424465835 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5658548/?reload=true