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