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Computer Optics, 2015, Volume 39, Issue 1, Pages 101–108
DOI: https://doi.org/10.18287/0134-2452-2015-39-1-101-108
(Mi co63)
 

This article is cited in 3 scientific papers (total in 3 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Morphlets: a new class of tree-structured morphological descriptors of image shape

Yu. V. Vizilter, V. S. Gorbatcevich, S. Yu. Zheltov, A. Yu. Rubis, A. V. Vorotnikov

FGUP «GosNIIAS»
Full-text PDF (700 kB) Citations (3)
References:
Abstract: In this paper, we present a new class of tree-structured morphological descriptors of image shape. The notion of a Haar-like function is formalized. It is demonstrated that Pytiev morphology of centered images can be described in terms of a Haar-like basis. The morphology of localized mosaic shapes and corresponding localized Haar-like wavelet systems are described. The formal way for generating a hierarchical structure of localized mosaic shapes and corresponding tree of localized Haar-like wavelets is reported. The notion of “morphlets” as Haar-like wavelets corresponding to the mosaic shape of some image is introduced. Some constructive schemes for the generation of morphlet-based image descriptors are considered.
Keywords: image analysis, mathematical morphology, Pytiev morphology, Wavelets, Shape comparison.
Funding agency Grant number
Russian Foundation for Basic Research 14-07-00914-а
his work was supported by RFBR (grant № 14-07-00914-a)
Received: 03.12.2014
Document Type: Article
Language: Russian
Citation: Yu. V. Vizilter, V. S. Gorbatcevich, S. Yu. Zheltov, A. Yu. Rubis, A. V. Vorotnikov, “Morphlets: a new class of tree-structured morphological descriptors of image shape”, Computer Optics, 39:1 (2015), 101–108
Citation in format AMSBIB
\Bibitem{VizGorZhe15}
\by Yu.~V.~Vizilter, V.~S.~Gorbatcevich, S.~Yu.~Zheltov, A.~Yu.~Rubis, A.~V.~Vorotnikov
\paper Morphlets: a new class of tree-structured morphological descriptors of image shape
\jour Computer Optics
\yr 2015
\vol 39
\issue 1
\pages 101--108
\mathnet{http://mi.mathnet.ru/co63}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-1-101-108}
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  • https://www.mathnet.ru/eng/co63
  • https://www.mathnet.ru/eng/co/v39/i1/p101
  • This publication is cited in the following 3 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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    References:40
     
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