0573712 20240402214154.620230719235959.9 10.24132/CSRN.3301.13 7 s. E cav_un_epca*0574058978-80-86943-32-92464-4617100-106PlzeňUniversity of West Bohemia2023 Texture Comparison Texture Modeling Texture Retrieval Texture Classification Texture Acquisition 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/2023/RO/haindl-0573712.pdf GA19-12340S GA ČR CZ cav_un_auth*0376011 Criteria capable of texture spectral similarity evaluation are presented and compared. From the fifteen evaluated criteria, only four criteria guarantee zero or minimal spectral ranking errors. Such criteria can support texture modeling algorithms by comparing the modeled texture with corresponding synthetic simulations. Another possible application is the development of texture retrieval, classification, or texture acquisition system. These criteria thoroughly test monotonicity and mutual correlation on specifically designed extensive monotonously degrading experiments. cav_un_auth*0452329 International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./ 20230515 Plzen CZ 20230519 BC 20000 20200 20205 2024 SCOPUS 2 PR RVO:67985556 https://hdl.handle.net/11104/0344423 S C 7 0.143 26.43 0.13 23 Q4 Q4 2023 C SCOPUS PUBMED WOS cav_un_epca*0574058 WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023 978-80-86943-32-9 2464-4617 2464-4625 100 106 Plzeň University of West Bohemia 2023 Computer Science Research Notes CSRN 3301