Number of the records: 1
Bark recognition using novel rotationally invariant multispectral textural features
SYS 0506602 LBL 01000a^^22220027750^450 005 20240103222303.5 014 $a 85068558335 $2 SCOPUS 014 $a 000482374500084 $2 WOS 017 $a 10.1016/j.patrec.2019.06.027 $2 DOI 100 $a 20190719d m y slo 03 ba 101 $a eng $d eng 102 $a NL 200 1-
$a Bark recognition using novel rotationally invariant multispectral textural features 215 $a 6 s. $c P 463 -1
$1 001 cav_un_epca*0257389 $1 011 $a 0167-8655 $e 1872-7344 $1 200 1 $a Pattern Recognition Letters $v Roč. 125, č. 1 (2019), s. 612-617 $1 210 $c Elsevier 610 $a Bark recognition 610 $a Tree taxonomy clasification 610 $a Spiral Markov random field model 610 $a textural feature 700 -1
$3 cav_un_auth*0286710 $a Remeš $b Václav $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101093 $a Haindl $b Michal $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2019/RO/haindl-0506602.pdf 856 $u https://www.sciencedirect.com/science/article/pii/S0167865519301886 $9 RIV
Number of the records: 1