0546216 20220320214411.120211005235959.9 10.1007/978-3-030-88113-9_52 12 s. P cav_un_epca*0546212978-3-030-88113-91865-0929644-655ChamSpringer International Publishing2021WojtkiewiczKrystianTreurJanPimenidisEliasMaleszkaMarcin Texture spectral similarity criterion Bidirectional Texture Function hyperspectral data texture modeling cav_un_auth*0283206 Havlíček Michal UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Haindl Michal UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2021/RO/haindl-0546216.pdf GA19-12340S GA ČR CZ cav_un_auth*0376011 This paper introduces an accelerated algorithm for evaluating criteria for comparing the spectral similarity of color, Bidirectional Texture Functions (BTF), and hyperspectral textures. The criteria credibly compare texture pixels by simultaneously considering the pixels with similar values and their mutual ratios. Such a comparison can determine the optimal modeling or acquisition setup by comparing the original data with their synthetic simulations. Other applications of the criteria can be spectral-based texture retrieval or classification. Together with existing alternatives, the suggested methods were extensively tested and compared on a wide variety of color, BTF, and hyper-spectral textures. The methods' performance quality was examined in a long series of specially designed experiments where proposed ones outperform all tested alternatives. cav_un_auth*0414747 International Conference on Computational Collective Intelligence 2021 /13./ 20210929 20211001 Kallithea, Rhodes GR BD 20000 20200 20202 2022 2 PR RVO:67985556 http://hdl.handle.net/11104/0323757 cav_un_auth*0414750 Fakulta managementu, VŠE FM VŠE CZ S 52 75 0.188 20.54 0.55 6188 Q3 2021 SCOPUS PUBMED WOS cav_un_epca*0546212 Advances in Computational Collective Intelligence Springer International Publishing 2021 Cham 644 655 978-3-030-88113-9 Communications in Computer and Information Science 1463 1865-0929 Wojtkiewicz Krystian 340 Treur Jan 340 Pimenidis Elias 340 Maleszka Marcin 340