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Laser Spot Detection Based on Reaction Diffusion
by
Alejandro Vázquez-Otero 1,2,*, Danila Khikhlukha 2, J. M. Solano-Altamirano 2,3, Raquel Dormido 1
and Natividad Duro 1
and Natividad Duro 1
1
Department of Computer Sciences and Automatic Control, UNED, C/ Juan del Rosal, 16, 28040 Madrid, Spain
2
ELI Beamlines, Institute of Physics ASCR, Na Slovance 2, Prague 8, 18221, Czech Republic
3
Facultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, 14 Sur y Av. San Claudio, Col. San Manuel, 72530 Puebla, Mexico
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Sensors 2016, 16(3), 315; https://doi.org/10.3390/s16030315
Received: 31 December 2015 / Revised: 13 February 2016 / Accepted: 23 February 2016 / Published: 1 March 2016
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2015)
Center-location of a laser spot is a problem of interest when the laser is used for processing and performing measurements. Measurement quality depends on correctly determining the location of the laser spot. Hence, improving and proposing algorithms for the correct location of the spots are fundamental issues in laser-based measurements. In this paper we introduce a Reaction Diffusion (RD) system as the main computational framework for robustly finding laser spot centers. The method presented is compared with a conventional approach for locating laser spots, and the experimental results indicate that RD-based computation generates reliable and precise solutions. These results confirm the flexibility of the new computational paradigm based on RD systems for addressing problems that can be reduced to a set of geometric operations.
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Keywords:
reaction diffusion models; Turing patterns; reaction diffusion computers; reaction diffusion computation; Fitzhugh-Nagumo model; laser spot position; laser spot detection; laser beam detection
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MDPI and ACS Style
Vázquez-Otero, A.; Khikhlukha, D.; Solano-Altamirano, J.M.; Dormido, R.; Duro, N. Laser Spot Detection Based on Reaction Diffusion. Sensors 2016, 16, 315.
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