• DocumentCode
    381167
  • Title

    Optimizing virtual environment for micro operation using genetic algorithm

  • Author

    Min, Li ; Xin, Zhao ; Bin, Yu ; Guizhang, Lu ; Jingtai, Liu

  • Author_Institution
    Inst. of Robotics & Autom. Inf. Syst., Nankai Univ., Tianjin, China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1831
  • Abstract
    A genetic algorithm to optimize the virtual micro operation environment is put forward in this paper. Firstly, the optical model for microscopic imaging is introduced. Secondly, the background and reasons of using the genetic algorithm are discussed. Furthermore, a genetic algorithm is designed to seek the mapping between the spread parameter of the microscope and Z-axis coordinates. Finally, this genetic algorithm is used to optimize the virtual environment for micro operation with the features of the microscopic image. The genetic algorithm is proved to be effective by some experiments.
  • Keywords
    augmented reality; genetic algorithms; image processing; micromanipulators; Z-axis coordinates; augmented reality; experiments; genetic algorithm; micro manipulator; microscope; microscopic imaging; optical model; virtual micro operation environment; Augmented reality; Biomedical engineering; Biomedical optical imaging; Genetic algorithms; Geometrical optics; Manipulators; Optical imaging; Optical microscopy; Robot kinematics; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1021399
  • Filename
    1021399