Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika
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Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika, 2017, Number 6, Pages 20–27 (Mi vmumm106)  
This article is cited in 2 scientific papers (total in 2 papers)

Mathematics

Fast algorithm for geometrical coding of digital images

G. V. Nosovskii, A. Yu. Chekunov, S. A. Podlipaev

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (2000 kB) Citations (2)
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Abstract: In this paper fast algorithm for geometrical coding is presented. It allows to perform image analysis by methods of differential geometry rather than gradient or Hessian-based methods commonly used today for this purpose. One of the most important points in image analysis is speed of calculations. Fast algorithm for geometrical coding is comparable or faster than traditional algorithms of image analysis. In the paper several examples of contour detection are presented.
Key words: pattern recognition, geometrical coding, coding surface, contour analysis, edge detection, computer vision, image processing, image stitching.
Received: 05.04.2017
English version:
Moscow University Mathematics Bulletin, 2017, Volume 72, Issue 6, Pages 238–244
DOI: https://doi.org/10.3103/S0027132217060043
Bibliographic databases:
Document Type: Article
UDC: 511
Language: Russian
Citation: G. V. Nosovskii, A. Yu. Chekunov, S. A. Podlipaev, “Fast algorithm for geometrical coding of digital images”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2017, no. 6, 20–27; Moscow University Mathematics Bulletin, 72:6 (2017), 238–244
Citation in format AMSBIB
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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