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Computer Optics, 2019, Volume 43, Issue 2, Pages 245–250
DOI: https://doi.org/10.18287/2412-6179-2019-43-2-245-250
(Mi co641)
 

This article is cited in 15 scientific papers (total in 15 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Gradient-based technique for image structural analysis and applications

D. G. Asatryanab

a Russian-Armenian University, Armenia, Yerevan
b Institute for Informatics and Automation Problems of National Academy of Sciences of Armenia, Armenia, Yerevan
References:
Abstract: This paper is devoted to application of gradients field characteristics in selected problems of image intellectual analysis and processing. To analyse the properties and structure of an image several approaches and models based on the use of the gradients field characteristics, are proposed. In this paper, models based on Weibull distribution are considered, an image dominant direction estimation algorithm using the parameters of scattering ellipse of gradients field components is proposed, and a similarity measure of two images with arbitrary dimensions and orientation is proposed. Some examples of applications of these models for estimation of blur and structuredness of an image, for the quality assessment of resizing and rotating algorithms, as well as for detection of a specified object on the image delivered by an unmanned aerial vehicle, are given.
Keywords: Image gradient field, Weibull distribution, similarity measure, dominant orientation, blur estimation, video stream analyse.
Funding agency Grant number
Ministry of Education and Science of the Republic of Armenia 15T-1B274
Ministry of Science and Higher Education of the Russian Federation
This work was supported by the State Committee of Science of the Ministry of Education and Science of the Republic of Armenia, under the research project No. 15T-1B274 and by Russian-Armenian University under the research project funded by the Ministry of Education and Science of the Russian Federation.
Received: 13.06.2018
Accepted: 19.12.2018
Document Type: Article
Language: English
Citation: D. G. Asatryan, “Gradient-based technique for image structural analysis and applications”, Computer Optics, 43:2 (2019), 245–250
Citation in format AMSBIB
\Bibitem{Asa19}
\by D.~G.~Asatryan
\paper Gradient-based technique for image structural analysis and applications
\jour Computer Optics
\yr 2019
\vol 43
\issue 2
\pages 245--250
\mathnet{http://mi.mathnet.ru/co641}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-2-245-250}
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  • https://www.mathnet.ru/eng/co641
  • https://www.mathnet.ru/eng/co/v43/i2/p245
  • This publication is cited in the following 15 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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    References:31
     
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