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Computer Optics, 2015, Volume 39, Issue 1, Pages 119–124 (Mi co65)  

IMAGE PROCESSING, PATTERN RECOGNITION

Boundary extraction in images using a clustering algorithm

S. V. Belim, P. E. Kutlunin

F.M. Dostoevskiy Omsk State University

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.

DOI: https://doi.org/10.18287/0134-2452-2015-39-1-119-124

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Full text: http://www.computeroptics.smr.ru/.../390116.html
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Received: 19.01.2015

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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