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Computer Optics, 2016, Volume 40, Issue 1, Pages 80–86 (Mi co119)  

IMAGE PROCESSING, PATTERN RECOGNITION

Change detection in segmented images based on reference filters

M. A. Lebedev, A. Yu. Rubis, V. S. Gorbatsevich, Yu. V. Vizilter, O. V. Vygolov

FGUP “GosNIIAS”

Abstract: In this paper we substantiate and develop a new comparative diffusion morphology technique based on filters that allow geometrical changes in the images under comparison. Two alternative interpretations of the morphological projector using “absolute” and “relative” definitions of a morphological image shape are proposed. Diffusion morphology based on superposition of two Pytiev’s projectors on mosaic shapes is considered. Diffusion morphology based on 'reference' filters is proposed as a generalization of the approach. The advantage of using diffusion morphology compared to classical Pytiev’s projective morphology in change detection applications is demonstrated.

Keywords: mathematical morphology, image matching, diffusion maps.

Funding Agency Grant Number
Russian Foundation for Basic Research 14-07-00914 À
13-08-01071 À
The work was partially funded by Russian Science Foundation (RSF), grants No. 14-07-00914 À, 13-08-01071 À.


DOI: https://doi.org/10.18287/2412-6179-2016-40-1-80-86

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Full text: http://www.computeroptics.smr.ru/.../400112.html
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Received: 07.12.2015
Revised: 10.02.2016

Citation: M. A. Lebedev, A. Yu. Rubis, V. S. Gorbatsevich, Yu. V. Vizilter, O. V. Vygolov, “Change detection in segmented images based on reference filters”, Computer Optics, 40:1 (2016), 80–86

Citation in format AMSBIB
\Bibitem{LebRubGor16}
\by M.~A.~Lebedev, A.~Yu.~Rubis, V.~S.~Gorbatsevich, Yu.~V.~Vizilter, O.~V.~Vygolov
\paper Change detection in segmented images based on reference filters
\jour Computer Optics
\yr 2016
\vol 40
\issue 1
\pages 80--86
\mathnet{http://mi.mathnet.ru/co119}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-1-80-86}


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