Signal Detection in Technical Vision Systems

A. I. Strelkov; Ye. I. Zhilin; A. P. Lytyuga; A. S. Kalmykov; S. A. Lisovenko

doi:10.1615/TelecomRadEng.v66.i4.10

Telecommunications and Radio Engineering

Editor en Jefe: Yevgeni Koucheryavy (open in a new tab)

Editor Asociados: Ammar Muthanna (open in a new tab) Edison Pignaton de Freitas (open in a new tab)

Publicado 12 números por año

ISSN Imprimir: 0040-2508

ISSN En Línea: 1943-6009

Indexed in

Signal Detection in Technical Vision Systems

Volumen 66, Edición 4, 2007, pp. 283-293

DOI: 10.1615/TelecomRadEng.v66.i4.10

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A. I. Strelkov
United research institute of Armed Forces, Kharkiv university of Air Forces, Kharkiv academy of engineering and pedagogic, Kharkiv, Ukraine

Ye. I. Zhilin
United research institute of Armed Forces, Kharkiv university of Air Forces, Kharkiv academy of engineering and pedagogic, Kharkiv, Ukraine

A. P. Lytyuga
United research institute of Armed Forces, Kharkiv university of Air Forces, Kharkiv academy of engineering and pedagogic, Kharkiv, Ukraine

A. S. Kalmykov
United research institute of Armed Forces, Kharkiv university of Air Forces, Kharkiv academy of engineering and pedagogic, Kharkiv, Ukraine

S. A. Lisovenko
United research institute of Armed Forces, Kharkiv university of Air Forces, Kharkiv academy of engineering and pedagogic, Kharkiv, Ukraine

SINOPSIS

The present paper is dedicated to development of an optimal algorithm for signal detection in television-type technical vision systems. A solution to the problem of optimal detection of a deterministic signal in additive noise using image correlation processing based upon classical detection theory. Analytical expressions are derived for mathematical expectation, signal dispersion at the correlation detector output and probability detection characteristics. An efficiency of the proposed algorithm is validated by means of mathematical simulation.

CITADO POR

Strelkova Tatyana, Kartashov Vladimir, Lytyuga Alexander P., Strelkov Alexander I., Theoretical Methods of Images Processing in Optoelectronic Systems, in Developing and Applying Optoelectronics in Machine Vision, 2017. Crossref
Strelkova Tatyana, Kartashov Vladimir, Lytyuga Alexander P., Strelkov Alexander I., Theoretical Methods of Images Processing in Optoelectronic Systems, in Biometrics, 2017. Crossref
Strelkova T.A., Studies on the optical fluxes attenuation process in optoelectronic systems, Semiconductor Physics Quantum Electronics and Optoelectronics, 17, 4, 2014. Crossref
Strelkova Tatyana, Strelkov Alexander I., Kartashov Vladimir M., Lytyuga Alexander P., Kalmykov Alexander S., Methods of Reception and Signal Processing in Machine Vision Systems, in Examining Optoelectronics in Machine Vision and Applications in Industry 4.0, 2021. Crossref
Strikova Tetiana, Lytyuga Oleksandr, Skorupski Krzysztof, Bugubayeva Alina, Romaniuk Ryszard S., Linczuk Maciej, Stochastic deterministic methods for processing signals and images in optical electronic systems , Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 , 2019. Crossref

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