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Laser spot detection based on reaction diffusion

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    SYSNO ASEP0488236
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleLaser spot detection based on reaction diffusion
    Author(s) Vázquez-Otero, Alejandro (FZU-D)
    Khikhlukha, Danila (FZU-D)
    Solano-Altamirano, J. M. (MX)
    Dormido, R. (ES)
    Duro, N. (ES)
    Number of authors5
    Article number315
    Source TitleSensors. - : MDPI
    Roč. 16, č. 3 (2016), s. 1-11
    Number of pages11 s.
    Languageeng - English
    CountryCH - Switzerland
    Keywordslaser spot detection ; laser beam detection ; reaction diffusion models ; Fitzhugh-Nagumo model ; reaction diffusion computation ; Turing patterns
    Subject RIVBL - Plasma and Gas Discharge Physics
    OECD categoryFluids and plasma physics (including surface physics)
    R&D ProjectsEF15_008/0000162 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportFZU-D - RVO:68378271
    UT WOS000373713600122
    EID SCOPUS84959463779
    DOI10.3390/s16030315
    AnnotationCenter-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.
    WorkplaceInstitute of Physics
    ContactKristina Potocká, potocka@fzu.cz, Tel.: 220 318 579
    Year of Publishing2018
Number of the records: 1  

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