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 |
|
|
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 |
|
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 |
|