0441266 20240103205744.120150224235959.9 84922559127 000352171800007 10.1016/j.sigpro.2015.01.005 7 s. P cav_un_epca*02550760165-16841131 (2015)61-67Elsevier Rotationinvariants Geometric moments Gaussian–Hermite moments Recurrentrelation cav_un_auth*0292817 Yang Bo Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Flusser Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101203 Suk Tomáš Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/ZOI/flusser-0441266.pdf GA15-16928S GA ČR cav_un_auth*0314467 In this paper we proposed a method to design and numerically calculate high-orderrotation invariants from Gaussian–Hermitemoments. We employed the invariant properties of the Gaussian–Hermite moments discovered earlier in [1] and we showed how to construct rotation Gaussian–Hermite invariants even in the cases when no explicit invariants from geometric moments are available. We verify by experiments the rotation invariance and show that we are capable of computing much higher order of Gaussian–Hermite invariants than of geometric invariants, which brings better discrimination power. 2016 JD 3 4 A hod 4ah 20231122140837.0 RVO:67985556 http://hdl.handle.net/11104/0244683 S ENGINEERING.ELECTRICAL&ELECTRONIC 2.143 0.577 5.9 0.01704 0.698 7202 0.898 Q1 1.710 352 Q2 60.627 74.5 Q2 Q1 74.514 2015 Soubory v repozitáři: flusser-0441266.pdf 84922559127 SCOPUS 000352171800007 WOS cav_un_epca*0255076 Signal Processing 0165-1684 1872-7557 Roč. 113 č. 1 2015 61 67 Elsevier