Title :
Extracting Depth Information from Microscopic Image of Micro Manipulator
Author :
Xin, Zhao ; Mingzhu, Sun ; Bin, Yu ; Guizhang, Lu ; Jingtai, Liu ; Dagang, Huang
Author_Institution :
Inst. of Robotics & Autom. Inf. Syst., Nankai Univ., Tianjin
Abstract :
A method to extract the depth information of micro needle, which is commonly used in biomedical engineering experiments, is proposed in this paper. At first, the imaging model of microscope and the problem of system identification are introduced briefly. And then the extracting method is described in detail. Finally given some experiments results show that the method is quite effective
Keywords :
feature extraction; identification; micromanipulators; robot vision; depth information extraction; golden section search; micromanipulator; microscopic imaging model; point spread function; system identification; Biomedical engineering; Biomedical imaging; Biomedical measurements; Data mining; Image generation; Lenses; Microscopy; Needles; Research and development; System identification; Depth Information Extracting; Golden Section Search; Microscopic Imaging Model; Point Spread Function; System Identification;
Conference_Titel :
Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
0-7803-8614-8
DOI :
10.1109/ROBIO.2004.1521853
