Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika
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Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika, 2018, Number 6, Pages 20–30 (Mi vmumm580)  
This article is cited in 2 scientific papers (total in 2 papers)

Mathematics

Implementation of the fast algorithm for geometrical coding of digital images with the use of CUDA architecture

A. Yu. Chekunov

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (1577 kB) Citations (2)
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Abstract: In this paper we compare the speed and quality of CUDA realization for new contour detection algorithm based on geometrical coding with CUDA implementation of Canny algorithm which is commonly used in OpenCV library. The comparison shows that the new approach can really compete with the Canny operator and in some cases even overcome it in speed and quality. Examples of geometrical coding contour detection in different situations are presented.
Key words: pattern recognition, geometrical coding, coding surface, contour analysis, edge detection, computer vision, image processing, image stitching.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation НШ-6399.2018.1
Russian Foundation for Basic Research 16–01–00378-а
Received: 14.02.2018
English version:
Moscow University Mathematics Bulletin, 2018, Volume 73, Issue 6, Pages 229–238
DOI: https://doi.org/10.3103/S0027132218060037
Bibliographic databases:
Document Type: Article
UDC: 511
Language: Russian
Citation: A. Yu. Chekunov, “Implementation of the fast algorithm for geometrical coding of digital images with the use of CUDA architecture”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2018, no. 6, 20–30; Moscow University Mathematics Bulletin, 73:6 (2018), 229–238
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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