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Proceedings Paper

Automatic laser beam alignment using blob detection for an environment monitoring spectroscopy
Author(s): Jarjees Khidir; Youhua Chen; Gary Anderson
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Paper 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.

Paper Details

Date Published: 20 May 2013
PDF: 7 pages
Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440U (20 May 2013); doi: 10.1117/12.2018149
Show Author Affiliations
Jarjees Khidir, Univ. of Arkansas at Little Rock (United States)
Salahaddin Univ. (Iraq)
Youhua Chen, Univ. of Arkansas at Little Rock (United States)
Gary Anderson, Univ. of Arkansas at Little Rock (United States)

Published in SPIE Proceedings Vol. 8744:
Automatic Target Recognition XXIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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