bibtype	J - Journal Article
ARLID	0466031
utime	20240103213023.6
mtime	20161125235959.9
SCOPUS	84992186930
WOS	000389294600008
DOI	10.1016/j.sigpro.2016.09.013
title (primary) (eng)	Scale invariants from Gaussian-Hermite moments
specification	page_count 8 s. media_type P
serial	ARLID cav_un_epca*0255076 ISSN 0165-1684 title Signal Processing volume_id 132 volume 1 (2017) page_num 77-84 publisher name Elsevier
keyword	Scale invariants
keyword	Gaussian–Hermite moments
keyword	Variable modulation
keyword	Normalization
keyword	Zernike moments
author (primary)	ARLID cav_un_auth*0236665 share 25 name1 Yang name2 B. country CN
author	ARLID cav_un_auth*0336802 full_dept (cz) Zpracování obrazové informace full_dept Department of Image Processing department (cz) ZOI department ZOI full_dept Department of Image Processing share 25 name1 Kostková name2 Jitka institution UTIA-B fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0101087 full_dept (cz) Zpracování obrazové informace full_dept Department of Image Processing department (cz) ZOI department ZOI full_dept Department of Image Processing share 25 name1 Flusser name2 Jan institution UTIA-B fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0101203 full_dept (cz) Zpracování obrazové informace full_dept Department of Image Processing department (cz) ZOI department ZOI full_dept Department of Image Processing share 25 name1 Suk name2 Tomáš institution UTIA-B fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2016/ZOI/flusser-0466031.pdf
cas_special	project ARLID cav_un_auth*0314467 project_id GA15-16928S agency GA ČR abstract (eng) Invariants to image scaling composed of Gaussian–Hermite moments are introduced in this paper for the first time. To achieve the invariance, we propose to modulate the Gaussian–Hermite polynomial basis using variable parameter σ, the value of which depends on the input image. The scaling invariance property can be coupled with the rotation invariance presented earlier. This approach is applicable in 2D as well as in 3D and provides very good numerical stability, as demonstrated by several experiments on real data. RIV JD FORD0 10000 FORD1 10200 FORD2 10201 reportyear 2017 num_of_auth 4 mrcbC52 4 A hod 4ah 20231122142039.7 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0265374 cooperation ARLID cav_un_auth*0336803 name Northwestern Polytechnical University, Shaanxi country CN mrcbC64 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS confidential S mrcbC83 RIV/67985556:_____/17:00466031!RIV17-AV0-67985556 191870808 doplnení OECD UTIA-B mrcbC83 RIV/67985556:_____/17:00466031!RIV17-GA0-67985556 191876838 doplnení OECD UTIA-B mrcbC86 2 Article Engineering Electrical Electronic mrcbC86 2 Article Engineering Electrical Electronic mrcbC86 2 Article Engineering Electrical Electronic mrcbT16-e ENGINEERINGELECTRICALELECTRONIC mrcbT16-j 0.817 mrcbT16-s 0.940 mrcbT16-B 63.612 mrcbT16-D Q2 mrcbT16-E Q2 arlyear 2017 mrcbTft \nSoubory v repozitáři: flusser-0466031.pdf mrcbU14 84992186930 SCOPUS mrcbU24 PUBMED mrcbU34 000389294600008 WOS mrcbU63 cav_un_epca*0255076 Signal Processing 0165-1684 1872-7557 Roč. 132 č. 1 2017 77 84 Elsevier