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Trudy SPIIRAN, 2013, Issue 30, Pages 273–281 (Mi trspy680)  

The fast computation of hierarchic image segmentation for uncummulative segments union criterions while processing ice situation data

Ph. R. Galianoa, M. S. Pelevinb, V. Ermolaevc, M. V. Thvetkovb

a Hi Tech Research and Development Office Ltd.
b Saint-Petersburg State Electrotechnical University
c St. Petersburg Institute for Informatics and Automation of RAS
References:
Abstract: The method of an acceleration of algorithms for hierarchic image segmentation is proposed. The algorithm is applied when functionality of the decision rule does not need segments features recalculation on an each iteration.
Keywords: segmentation, minimal spanning tree, Kruskal algorithm.
Received: 13.09.2013
Document Type: Article
UDC: 004.89
Language: Russian
Citation: Ph. R. Galiano, M. S. Pelevin, V. Ermolaev, M. V. Thvetkov, “The fast computation of hierarchic image segmentation for uncummulative segments union criterions while processing ice situation data”, Tr. SPIIRAN, 30 (2013), 273–281
Citation in format AMSBIB
\Bibitem{GalPelErm13}
\by Ph.~R.~Galiano, M.~S.~Pelevin, V.~Ermolaev, M.~V.~Thvetkov
\paper The fast computation of hierarchic image segmentation for uncummulative segments union criterions while processing ice situation data
\jour Tr. SPIIRAN
\yr 2013
\vol 30
\pages 273--281
\mathnet{http://mi.mathnet.ru/trspy680}
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  • https://www.mathnet.ru/eng/trspy680
  • https://www.mathnet.ru/eng/trspy/v30/p273
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    Informatics and Automation
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    References:24
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