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JOURNALS // Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika // Archive

Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2017 Number 6, Pages 20–27 (Mi vmumm106)

This article is cited 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

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.

UDC: 511

Received: 05.04.2017


 English version:
Moscow University Mathematics Bulletin, Moscow University Måchanics Bulletin, 2017, 72:6, 238–244

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