• DocumentCode
    2490649
  • Title

    The application of ant colony system to image textute classification [textute read texture]

  • Author

    Zheng, Hong ; Zheng, Zhaobao ; Xiang, Yong

  • Author_Institution
    Sch. of Electron. Inf., Wuhan Univ., Hubei, China
  • Volume
    3
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1491
  • Abstract
    This paper presents a novel ant system based optimisation method which integrates genetic algorithms and simplex algorithms. This method is able to not only speed up the search process for solutions, but also improve the quality of the solutions. In this paper, the proposed method is applied to set up a learning model for the "tuned" mask, which is used for texture classification. Experimental results on aerial images and comparisons with genetic algorithms and genetic simplex algorithms are presented to illustrate the merit and feasibility of the proposed method.
  • Keywords
    genetic algorithms; image classification; image texture; learning (artificial intelligence); multi-agent systems; aerial images; ant colony system; genetic algorithms; image texture classification; learning model; simplex algorithms; tuned mask; Ant colony optimization; Design optimization; Electronic mail; Genetic algorithms; Genetic engineering; Guidelines; Machine learning; Optimization methods; Remote sensing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259730
  • Filename
    1259730