Ms. Ning Wang Profile

Ning Wang

at Beijing Institute of Technology

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Proceedings Article | 13 October 2010 Paper

Method based on video imaging to correct the consistency of multi-optical axes

Ning Wang, Ya-can Li, Jing-fan Fan, Yu-hua Jiang, Fan Fan, Wei-qi Jin, Xia Wang

Proceedings Volume 7656, 76566D (2010) https://doi.org/10.1117/12.866256

KEYWORDS: Imaging systems, Video, Image sensors, Sensors, Charge-coupled devices, Target detection, Prototyping, Image processing, Reticles, Laser video displays

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The multi-sensor photoelectric systems, which collect laser ranging, laser-guided radiation, visible light imaging and thermal imaging as a whole, are widely used at modern weaponry platform. The consistency detection of optical axis has become a key to measure these systems' functions. According to the multi-optic-axis consistency detection's requirements, this paper puts forward a new method based on video imaging to correct the consistency of multi-optical axes. This method abandons the traditional methods based on the numerous refractions and reflections between many optical components. It takes laser axis as the base and obtains the exposure point of laser beam in the scene through video imaging technology. Then, by contrasting the exposure point and the TV's optical axis reticle, the TV's optical axis and the laser axis can be adjusted and kept in consistency in the form of electric reticle. According to this method, a set of portable imaging detector prototype that can be used to detect the consistency of multi-optical axes in the outfield has been made. This prototype can achieve the consistency detection of CCD imaging system and thermal imaging system by adjusting them with the laser range finder axis/laser irradiation axis separately. This prototype makes it simple and straightforward to adjust the optical axes by the way of imaging. With easy operation, environmental adaptability and compact structure, this system is suitable for the outfield testing and expected to be used for multi-optic-axis consistency detection online.

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