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Computer Optics, 2015, Volume 39, Issue 1, Pages 119–124
DOI: https://doi.org/10.18287/0134-2452-2015-39-1-119-124
(Mi co65)
 

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

IMAGE PROCESSING, PATTERN RECOGNITION

Boundary extraction in images using a clustering algorithm

S. V. Belim, P. E. Kutlunin

F.M. Dostoevskiy Omsk State University
References:
Abstract: The article suggests an algorithm of boundary extraction based on image clustering. In the process of clustering, the image is decomposed into simply connected regions based on pixel color. Edges of the regions are considered as the boundaries. The proposed approach allows obtaining well-defined boundaries without blurring. The algorithm is highly resistant to impulse noise.
Keywords: boundary extraction, edge detection in an image.
Received: 19.01.2015
Document Type: Article
Language: Russian
Citation: S. V. Belim, P. E. Kutlunin, “Boundary extraction in images using a clustering algorithm”, Computer Optics, 39:1 (2015), 119–124
Citation in format AMSBIB
\Bibitem{BelKut15}
\by S.~V.~Belim, P.~E.~Kutlunin
\paper Boundary extraction in images using a clustering algorithm
\jour Computer Optics
\yr 2015
\vol 39
\issue 1
\pages 119--124
\mathnet{http://mi.mathnet.ru/co65}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-1-119-124}
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  • https://www.mathnet.ru/eng/co65
  • https://www.mathnet.ru/eng/co/v39/i1/p119
  • 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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