• 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