About: Color Texture Segmentation by Decomposition of Gaussian Mixture Model

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Metoda je založena na lokálním statistickém modelu textury ve tvaru normální distribuční směsi, která popisuje statistické závislosti pixelů v rozsahu zvoleného pohyblivého okna. V práci je navržen algoritmus umožňující dekompozici směsi na části popisující jednotlivé segmenty textury. (cs) Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable window by multivariate Gaussian mixture of product components. The mixture components correspond to different variants of image patches as they appear in the window. In this sense they can be used to identify different segments of the source color texture image. The segmentation can be obtained by means of Bayes formula provided that a proper decomposition of the estimated Gaussian mixture into sub-mixtures is available. In this paper the mixture model is decomposed by maximizing the mean probability of correct classification of pixels into segments in a way taking into account the assumed consistency of final segmentation. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable window by multivariate Gaussian mixture of product components. The mixture components correspond to different variants of image patches as they appear in the window. In this sense they can be used to identify different segments of the source color texture image. The segmentation can be obtained by means of Bayes formula provided that a proper decomposition of the estimated Gaussian mixture into sub-mixtures is available. In this paper the mixture model is decomposed by maximizing the mean probability of correct classification of pixels into segments in a way taking into account the assumed consistency of final segmentation. (en)
Title	Color Texture Segmentation by Decomposition of Gaussian Mixture Model Color Texture Segmentation by Decomposition of Gaussian Mixture Model (en) Segmentace barevné textury dekompozicí modelu textury ve tvaru normální směsi (cs)
skos:prefLabel	Color Texture Segmentation by Decomposition of Gaussian Mixture Model Color Texture Segmentation by Decomposition of Gaussian Mixture Model (en) Segmentace barevné textury dekompozicí modelu textury ve tvaru normální směsi (cs)
skos:notation	RIV/67985556:_____/06:00041781!RIV07-AV0-67985556
http://linked.open.../vavai/riv/strany	287;296
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1ET400750407), P(1M0572), P(2C06019), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika	4225
http://linked.open...vai/riv/dodaniDat	2007
http://linked.open...aciTvurceVysledku	Haindl, Michal Pudil, Pavel Grim, Jiří Somol, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	469075
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/06:00041781
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	texture segmentation; gaussian mixture model; EM algorithm (en)
http://linked.open.../riv/klicoveSlovo	texture segmentation gaussian mixture model EM algorithm
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[5151D4BE8EE4]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Automatic Acquisition of Virtual Reality Models from Real World Scenes Data, algorithms, decision making (Medical) Knowledge Acquisition and Modelling
http://linked.open...UplatneniVysledku	2006
http://linked.open...v/svazekPeriodika	19
http://linked.open...iv/tvurceVysledku	Haindl, Michal Grim, Jiří Pudil, Pavel Somol, Petr
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
issn	0302-9743
number of pages	10 (xsd:int)
is http://linked.open...avai/riv/vysledek of	Color Texture Segmentation by Decomposition of Gaussian Mixture Model Color Texture Segmentation by Decomposition of Gaussian Mixture Model

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