0411479 20240103182330.620060210235959.9 80-86732-59-2 1 Mathematics and Computer Sciences. Praha MATFYZPRESS 2005 6 s. 47-52ŠafránkováJ. texture similarity cav_un_auth*0213290 Vácha Pavel UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K 1M0572 GA MŠk cav_un_auth*0001814 IAA2075302 GA AV ČR cav_un_auth*0001801 1ET400750407 GA AV ČR cav_un_auth*0001797 CEZ:AV0Z10750506 This paper surveys the current best texture representations and studies their application for a texture similarity measure development. A simple experiment that evaluates texture similarity is proposed and the performance of several most advanced texture features is verified on it. In order to eliminate the influence of spectral information monospectral textures are considered in this study only. The paper suggests the L1 norm with either Markovian or Gabor features as the best texture similarity measure. cav_un_auth*0202122 Annual Conference of Doctoral Students /14./ Praha CZ 07.06.2005-10.06.2005 BD 2006 RO http://hdl.handle.net/11104/0131559 UTIA-B 20050209 2005 2005 Praha MATFYZPRESS 80-86732-59-2 WDS'05 Proceedings of Contributed Papers 47 52 Šafránková J. 340