0447048 20240103210528.220150922235959.9 000364705500025 84945926595 10.1007/978-3-319-23192-1_25 12 s. P cav_un_epca*0447047978-3-319-23192-10302-9743I9256300-311SwitzerlandSpringer International Publishing2015AzzopardiGeorgePetkovNicolai Wood recognition Textural features Illumination invariants Surface reflectance field Bidirectional texture function 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. 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. http://library.utia.cas.cz/separaty/2015/RO/haindl-0447048.pdf GA14-10911S GA ČR CZ cav_un_auth*0303439 A mobile Android application that can automatically recognize wood species from a low quality mobile phone photo under varying illumination conditions is presented. The wood recognition is based on the Markovian, spectral, and illumination invariant textural features. The method performance was verified on a wood database, which contains veneers from sixty-six varied European and exotic wood species. The Markovian features improvement of the correct wood recognition rate is about 40 % compared to the best alternative - the Local Binary Patterns features. cav_un_auth*0319317 16th International Conference on Computer Analysis of Images and Patterns Valletta 02.09.2015-04.09.2015 MT 2016 BD 2 PO RVO:67985556 http://hdl.handle.net/11104/0249423 S 0.329 Q2 Q2 2015 84945926595 SCOPUS 000364705500025 WOS cav_un_epca*0447047 Computer Analysis of Images and Patterns - CAIP 2015 I 978-3-319-23192-1 0302-9743 300 311 Computer Analysis of Images and Patterns - CAIP 2015 Switzerland Springer International Publishing 2015 Lecture Notes in Computer Science 9256 Azzopardi George 340 Petkov Nicolai 340