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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021399