0346558 20240103193758.920100913235959.9 000286412900042 77958457239 10.1007/978-3-642-14980-1_42 Content-Based Tile Retrieval System 10 s. cav_un_epca*0346555978-3-642-14979-50302-9743Structural, Syntactic, and Statistical Pattern Recognition434-443Berlin / HeidelbergSpringer Berlin / Heidelberg2010Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco content based image retrieval textural features colour tile classification cav_un_auth*0213290 Vácha Pavel Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/RO/vacha-content-based tile retrieval system.pdf 1M0572 GA MŠk cav_un_auth*0001814 2C06019 GA MŠk CZ cav_un_auth*0216518 GA102/08/0593 GA ČR cav_un_auth*0239567 CEZ:AV0Z10750506 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. cav_un_auth*0263645 Structural, Syntactic, and Statistical Pattern Recognition Cesme, Izmir 18.08.2010-20.08.2010 TR 2011 BD http://hdl.handle.net/11104/0187559 100 0.318 16.31 0.34 2010 77958457239 SCOPUS 000286412900042 WOS cav_un_epca*0346555 Structural, Syntactic, and Statistical Pattern Recognition 978-3-642-14979-5 0302-9743 434 443 Berlin / Heidelberg Springer Berlin / Heidelberg 2010 LNCS 6218 Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco 340