About: Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation

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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	In this paper, we present a novel multiscale texture model and a related algorithm for the unsupervised segmentation of color images. Elementary textures are characterized by their spatial interactions with neighboring regions along selected directions. Such interactions are modeled, in turn, by means of a set of Markov chains, one for each direction, whose parameters are collected in a feature vector that synthetically describes the texture. Based on the feature vectors, the texture are then recursively merged, giving rise to larger and more complex textures, which appear at different scales of observation: accordingly, the model is named Hierarchical Multiple Markov Chain (H-MMC). The Texture Fragmentation and Reconstruction (TFR) algorithm, addresses the unsupervised segmentation problem based on the H-MMC model. In this paper, we present a novel multiscale texture model and a related algorithm for the unsupervised segmentation of color images. Elementary textures are characterized by their spatial interactions with neighboring regions along selected directions. Such interactions are modeled, in turn, by means of a set of Markov chains, one for each direction, whose parameters are collected in a feature vector that synthetically describes the texture. Based on the feature vectors, the texture are then recursively merged, giving rise to larger and more complex textures, which appear at different scales of observation: accordingly, the model is named Hierarchical Multiple Markov Chain (H-MMC). The Texture Fragmentation and Reconstruction (TFR) algorithm, addresses the unsupervised segmentation problem based on the H-MMC model. (en)
Title	Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation (en)
skos:prefLabel	Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation (en)
skos:notation	RIV/67985556:_____/09:00327903!RIV10-AV0-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika	8
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Haindl, Michal
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	317075
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/09:00327903
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Classification; texture analysis; segmentation; hierarchical image models; Markov process (en)
http://linked.open.../riv/klicoveSlovo	segmentation texture analysis Classification Markov process hierarchical image models
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[A8639E654B89]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Image Processing
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	(Medical) Knowledge Acquisition and Modelling BTF Texture Modelling
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	18
http://linked.open...iv/tvurceVysledku	Haindl, Michal Scarpa, G. Gaetano, R. Zerubia, J.
http://linked.open...ain/vavai/riv/wos	000268033300012
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
issn	1057-7149
number of pages	14 (xsd:int)

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