Content-Based Tile Retrieval System

0346558 - ÚTIA 2011 RIV DE eng C - Conference Paper (international conference)
Vácha, Pavel - Haindl, Michal
Content-Based Tile Retrieval System.
Structural, Syntactic, and Statistical Pattern Recognition. Berlin / Heidelberg: Springer Berlin / Heidelberg, 2010 - (Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco), s. 434-443. LNCS, 6218. ISBN 978-3-642-14979-5. ISSN 0302-9743.
[Structural, Syntactic, and Statistical Pattern Recognition. Cesme, Izmir (TR), 18.08.2010-20.08.2010]
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/0593
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : content based image retrieval * textural features * colour * tile classification
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2010/RO/vacha-content-based tile retrieval system.pdf

A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approved textural features derived from especially efficient Markovian statistics and supplemented with Local Binary Patterns (LBP) features representing occasional tile inhomogeneities. Markovian features are on top of that also invariant to illumination colour and robust to illumination direction variations, therefore an arbitrary illuminated tiles do not negatively influence the retrieval result. The presented computer-aided tile consulting system retrieves tiles from recent tile production digital catalogues, so that the retrieved tiles have as similar pattern and/or colours to a query tile as possible. The system is verified on a large commercial tile database in a psychovisual experiment.
Permanent Link: http://hdl.handle.net/11104/0187559