Title :
System identification-based depth information extracting from microscopic image
Author :
Xin, Zhao ; Bin, Yu ; Min, Li ; Dagang, Huang ; Guizhang, Lu ; Jingtai, Liu
Author_Institution :
Inst. of Robotics & Autom. Information Syst., Nankai Univ., Tianjin, China
Abstract :
A new method of extracting depth information from microscopic image is put forward and implemented in this paper. Firstly, the problem of extracting depth information by image processing is transferred into identification of microscopic point spread parameter. Secondly, a new method of identifying microscopic point spread parameter is put forward, the corresponding experiment is completed and the mapping between microscopic point spread parameter and Z coordinates is set up. Thirdly the method of extracting depth information from microscopic image is given, in the condition of 40× microscope, the experimental accuracy is 2.6 μm and it takes 3-5 s to compute a depth value; this method achieves the level of on-line application both in accuracy and efficiency.
Keywords :
feature extraction; image processing; micromanipulators; parameter estimation; depth information extracting; micromanipulator system; microscopic image processing; microscopic point spread parameter; system identification; Data mining; Image processing; Information systems; Lenses; Manipulators; Microscopy; Optical imaging; Pixel; Robot kinematics; Robotics and automation;
Conference_Titel :
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7925-X
DOI :
10.1109/RISSP.2003.1285557