Paper
20 May 2013 Automatic laser beam alignment using blob detection for an environment monitoring spectroscopy
Jarjees Khidir, Youhua Chen, Gary Anderson
Author Affiliations +
Abstract
This paper describes a fully automated system to align an infra-red laser beam with a small retro-reflector over a wide range of distances. The component development and test were especially used for an open-path spectrometer gas detection system. Using blob detection under OpenCV library, an automatic alignment algorithm was designed to achieve fast and accurate target detection in a complex background environment. Test results are presented to show that the proposed algorithm has been successfully applied to various target distances and environment conditions.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jarjees Khidir, Youhua Chen, and Gary Anderson "Automatic laser beam alignment using blob detection for an environment monitoring spectroscopy", Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440U (20 May 2013); https://doi.org/10.1117/12.2018149
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KEYWORDS
Blob detection

Image processing

Spectroscopy

Target detection

Cameras

Environmental sensing

Video

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