About: Illumination Invariants Based on Markov Random Fields

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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	Content-based image retrieval systems (CBIR) typically query large image databases based on some automatically generated colour and textural features. Optimal robust features should be geometry and illumination invariant. Although image retrieval has been an active research area for many years this difficult problem is still far from being solved. We introduce fast and robust textural features that allow retrieving images with similar scenes comprising colour textured objects viewed with different illumination. The proposed textural features that are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture and no knowledge of illumination direction, brightness or spectrum. These feature utilises utilise illumination invariant features extracted from three different Markov random field (MRF) based texture representations. Content-based image retrieval systems (CBIR) typically query large image databases based on some automatically generated colour and textural features. Optimal robust features should be geometry and illumination invariant. Although image retrieval has been an active research area for many years this difficult problem is still far from being solved. We introduce fast and robust textural features that allow retrieving images with similar scenes comprising colour textured objects viewed with different illumination. The proposed textural features that are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture and no knowledge of illumination direction, brightness or spectrum. These feature utilises utilise illumination invariant features extracted from three different Markov random field (MRF) based texture representations. (en)
Title	Illumination Invariants Based on Markov Random Fields Illumination Invariants Based on Markov Random Fields (en)
skos:prefLabel	Illumination Invariants Based on Markov Random Fields Illumination Invariants Based on Markov Random Fields (en)
skos:notation	RIV/67985556:_____/10:00343263!RIV11-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Vácha, Pavel Haindl, Michal
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
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	262849
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/10:00343263
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	illumination invariants; textural features; Markov random fields (en)
http://linked.open.../riv/klicoveSlovo	Markov random fields textural features illumination invariants
http://linked.open...ontrolniKodProRIV	[105E36A06890]
http://linked.open...i/riv/mistoVydani	Vukovar, Croatia
http://linked.open...i/riv/nazevZdroje	Pattern Recognition, Recent Advances
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...v/pocetStranKnihy	524 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making (Medical) Knowledge Acquisition and Modelling BTF Texture Modelling
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Haindl, Michal Vácha, Pavel
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
number of pages	20 (xsd:int)
http://purl.org/ne...btex#hasPublisher	In-Teh
https://schema.org/isbn	978-953-7619-90-9

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