bibtype J - Journal Article
ARLID 0441266
utime 20240103205744.1
mtime 20150224235959.9
SCOPUS 84922559127
WOS 000352171800007
DOI 10.1016/j.sigpro.2015.01.005
title (primary) (eng) Design of high-order rotation invariants from Gaussian-Hermite moments
specification
page_count 7 s.
media_type P
serial
ARLID cav_un_epca*0255076
ISSN 0165-1684
title Signal Processing
volume_id 113
volume 1 (2015)
page_num 61-67
publisher
name Elsevier
keyword Rotationinvariants
keyword Geometric moments
keyword Gaussian–Hermite moments
keyword Recurrentrelation
author (primary)
ARLID cav_un_auth*0292817
name1 Yang
name2 Bo
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101203
name1 Suk
name2 Tomáš
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2015/ZOI/flusser-0441266.pdf
cas_special
project
project_id GA15-16928S
agency GA ČR
ARLID cav_un_auth*0314467
abstract (eng) 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.
reportyear 2016
RIV JD
num_of_auth 3
mrcbC52 4 A hod 4ah 20231122140837.0
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0244683
confidential S
mrcbT16-e ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 0.698
mrcbT16-s 0.898
mrcbT16-4 Q1
mrcbT16-B 60.627
mrcbT16-C 74.514
mrcbT16-D Q2
mrcbT16-E Q2
arlyear 2015
mrcbTft \nSoubory v repozitáři: flusser-0441266.pdf
mrcbU14 84922559127 SCOPUS
mrcbU34 000352171800007 WOS
mrcbU63 cav_un_epca*0255076 Signal Processing 0165-1684 1872-7557 Roč. 113 č. 1 2015 61 67 Elsevier