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Computer Optics, 2015, Volume 39, Issue 3, Pages 397–405
DOI: https://doi.org/10.18287/0134-2452-2015-39-3-397-405
(Mi co102)
 

This article is cited in 7 scientific papers (total in 7 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A local order transform of digital images

V. V. Myasnikovab

a Image Processing Systems Institute, Samara, Russia, Russian Academy of Sciences
b Samara State Aerospace University, Samara, Russia
References:
Abstract: In this article a new method of nonlinear local processing of digital images, named a local order transform, is proposed and investigated. Properties of the proposed transform are determined. The relevance and efficiency of the proposed method are demonstrated for the applied problem of detecting duplicates in digital images in the case of brightness distortions.
Keywords: nonlinear local processing, digital images, order transform.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation
Russian Foundation for Basic Research 15-07-01164-а
13-07-12103-офи-м
Russian Academy of Sciences - Federal Agency for Scientific Organizations 15 "Информационные, управляющие и интеллектуальные технологии и системы"
This work was financially supported by the Ministry of Education and Science of the Russian Federation; RFBR grant (15-07-01164-to projects, number 13-07-12103-ofi-m); Program of the Presidium of RAS № 15 "Information, control and intelligent technologies and systems."
Received: 06.05.2015
Revised: 03.06.2015
Document Type: Article
Language: Russian
Citation: V. V. Myasnikov, “A local order transform of digital images”, Computer Optics, 39:3 (2015), 397–405
Citation in format AMSBIB
\Bibitem{Mya15}
\by V.~V.~Myasnikov
\paper A local order transform of digital images
\jour Computer Optics
\yr 2015
\vol 39
\issue 3
\pages 397--405
\mathnet{http://mi.mathnet.ru/co102}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-3-397-405}
Linking options:
  • https://www.mathnet.ru/eng/co102
  • https://www.mathnet.ru/eng/co/v39/i3/p397
  • This publication is cited in the following 7 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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