• DocumentCode
    2344369
  • Title

    A method of image recognition based on improvement ant colony algorithm

  • Author

    Sun, Baoshan ; Wan, Zhenkai

  • Author_Institution
    Sch. of Comput. Technol. & Autom., Tianjin Polytech. Univ., Tianjin
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3737
  • Lastpage
    3740
  • Abstract
    This article proposed one kind of improvement ant colony algorithm, has realized to the manipulator platform in the work piece image recognition function. Using the ant colony algorithm in the ant population´s diversification, strengthened the search ergodicity, thus changes seeks to the most superior match result. In the improvement algorithm simulates the annealing thought integration to be more advantageous with the partial parameter auto-adapted adjustment in the iterative earlier period searches the optimal solution, later period sped up the convergence rate, reduced the optimization time.
  • Keywords
    convergence of numerical methods; image recognition; iterative methods; manipulators; robot vision; search problems; simulated annealing; ant population diversification; convergence rate; image recognition method; improvement ant colony algorithm; iterative method; manipulator platform; partial parameter auto-adapted adjustment; search ergodicity; simulated annealing; Ant colony optimization; Automation; Concrete; DH-HEMTs; Displays; Image recognition; Iterative algorithms; Probability; Simulated annealing; Sun; Ant colony; algorithm; image; search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138901
  • Filename
    5138901