DocumentCode :
2497347
Title :
Design of self-adapting illumination in the vision measuring system
Author :
Qu, W-fu ; Pu, Zhao-Bang ; Wang, Ya-ai ; Liu, Guo-dong
Author_Institution :
Dept. of Autom. Meas. & Control, Harbin Inst. of Technol., China
Volume :
5
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
2965
Abstract :
Irradiance distribution and intensity of the test object play a key role in accuracy and stability of the vision measuring system. This paper firstly proposed a luminance transfer function in the vision measuring system, and then designed the illumination which could adjust light radiation automatically by ways of Neural Networks (NNs) and Pulse-Width Modulation (PWM) switch power. That the illumination could greatly improve the accuracy and robustness of the vision measuring system greatly has been verified by experiment. It has potential development and spreads the vision measuring system following the design of the self-adapting illumination.
Keywords :
image processing; lighting; neural nets; pulse width modulation; stability; vision; PWM switch power; automatic light radiation adjustment; irradiance distribution; luminance transfer function; neural networks; pulsewidth modulation; robustness; self adapting illumination design; stability; test object intensity; vision measuring system; Lighting; Machine vision; Neural networks; Power measurement; Pulse measurements; Pulse width modulation; Stability; Switches; System testing; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1260082
Filename :
1260082
Link To Document :
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