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Computer Optics, 2015, Volume 39, Issue 5, Pages 738–743
DOI: https://doi.org/10.18287/0134-2452-2015-39-5-738-743 (Mi co39) 		 
This article is cited in 10 scientific papers (total in 10 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A preprocessing method for correlation-extremal systems

O. V. Tsvetkova, L. V. Tananykinab

a Saint Petersburg State Electrotechnical University «LETI», St. Petersburg, Russia
b Federal State Unitary Enterprise «State Research Institute of Applied Problems», St. Petersburg, Russia
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DOI: https://doi.org/10.18287/0134-2452-2015-39-5-738-743
Abstract: In this paper we discuss an image preprocessing method for different shooting conditions. The method can be applied in machine vision systems using a correlation-extremal mapping method. An information-theoretic method for image preprocessing based on entropy analysis is offered. The investigation of the method has shown that, when preprocessed, same-scene images obtained under different conditions have a more stable correlation coefficient than the original images.
Keywords: machine vision, entropy analysis, correlation, image preprocessing.
Received: 18.06.2015
Revised: 04.11.2015
Document Type: Article
Language: Russian
Citation: O. V. Tsvetkov, L. V. Tananykina, “A preprocessing method for correlation-extremal systems”, Computer Optics, 39:5 (2015), 738–743
Citation in format AMSBIB
\Bibitem{TsvTan15}
\by O.~V.~Tsvetkov, L.~V.~Tananykina
\paper A preprocessing method for correlation-extremal systems
\jour Computer Optics
\yr 2015
\vol 39
\issue 5
\pages 738--743
\mathnet{http://mi.mathnet.ru/co39}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-5-738-743}
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    • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Computer Optics
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