0584124 20250310160018.720240313235959.9 85173756924 001080214500001 10.1080/24751839.2023.2265190 Texture recognition under scale and illumination variations 19 s. P cav_un_epca*05841232475-1839Journal of Information and Telecommunication81 (2024)130-148 Markovian Textural features LBP Gabor features scale sensitivity illumination sensitivity cav_un_auth*0213290 Vácha Pavel 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. https://www.tandfonline.com/doi/full/10.1080/24751839.2023.2265190 http://library.utia.cas.cz/separaty/2024/RO/haindl-0584124.pdf GA19-12340S GA ČR CZ cav_un_auth*0376011 Visual scene recognition is predominantly based on visual textures representing an object's material properties. However, the single material texture varies in scale and illumination angles due to mapping an object's shape. We present a comparative study of the color histogram, Gabor, opponent Gabor, Local Binary Pattern (LBP), and wide-sense Markovian textural features concerning their sensitivity to simultaneous scale and illumination variations. Due to their application dominance, these textural features are selected from more than 50 published textural features. Markovian features are information preserving, and we demonstrate their superior performance for scale and illumination variable observation conditions over the standard alternative textural features. We bound the scale variation by double size, and illumination variation includes illumination spectra, acquisition devices, and 35 illumination directions spanned above a sample hemisphere. Recognition accuracy is tested on textile patterns from the University of East Anglia and wood veneers from UTIA BTF databases. 2025 BD WOS 20000 20200 20205 2 2 R hod 4 4rh 4 20250310154629.1 4 20250310160018.7 RVO:67985556 https://hdl.handle.net/11104/0352103 S A ENGINEERING.ELECTRICAL&ELECTRONIC|TELECOMMUNICATIONS|COMPUTERSCIENCE.INFORMATIONSYSTEMS 2.3 0.4 3.7 0.00049 0.401 419 20 0.612 37.91 3.35 341 Q2 1.600 28 Q3 29.9 0.57 Q2 32 2024 Soubory v repozitáři: haindl-0584124.pdf 85173756924 SCOPUS PUBMED 001080214500001 WOS cav_un_epca*0584123 Journal of Information and Telecommunication 2475-1839 2475-1847 Roč. 8 č. 1 2024 130 148