• DocumentCode
    2217782
  • Title

    Image segmentation algorithm research and improvement

  • Author

    Ming, Lu

  • Author_Institution
    Jilin Bus. & Technol. Coll., Changchun, China
  • Volume
    5
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Through the systematic research on image segmentation and genetic algorithm applications in image segmentation, this paper proposes some improvements for the traditional genetic algorithm and applies the improved genetic algorithm in image segmentation. The experimental results show that the improved genetic algorithm this paper proposed can quicken the convergence, while maintaining the population diversity, and its stability is significantly better than the basic genetic algorithm.
  • Keywords
    genetic algorithms; image segmentation; genetic algorithm; image segmentation algorithm; Clustering algorithms; Educational institutions; Genetics; Image segmentation; Manganese; Visualization; genetic algorithm; image segmentation; threshold segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579114
  • Filename
    5579114