bibtype |
J -
Journal Article
|
ARLID |
0555291 |
utime |
20250310153156.1 |
mtime |
20220311235959.9 |
SCOPUS |
85125526639 |
WOS |
000784335600003 |
DOI |
10.1016/j.patcog.2022.108607 |
title
(primary) (eng) |
Non-separable rotation moment invariants |
specification |
page_count |
12 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0257388 |
ISSN |
0031-3203 |
title
|
Pattern Recognition |
volume_id |
127 |
publisher |
|
|
keyword |
Image recognition |
keyword |
Rotation invariants |
keyword |
Non-separable moments |
keyword |
Appell polynomials |
keyword |
Bi-orthogonality |
keyword |
Recurrent relation |
author
(primary) |
ARLID |
cav_un_auth*0426512 |
name1 |
Bedratyuk |
name2 |
L. |
country |
UA |
|
author
|
ARLID |
cav_un_auth*0101087 |
name1 |
Flusser |
name2 |
Jan |
institution |
UTIA-B |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
full_dept |
Department of Image Processing |
garant |
K |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101203 |
name1 |
Suk |
name2 |
Tomáš |
institution |
UTIA-B |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0336802 |
name1 |
Kostková |
name2 |
Jitka |
institution |
UTIA-B |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0355333 |
name1 |
Kautský |
name2 |
J. |
country |
AU |
|
source |
|
source |
|
cas_special |
project |
project_id |
GA21-03921S |
agency |
GA ČR |
ARLID |
cav_un_auth*0412209 |
|
abstract
(eng) |
In this paper, we introduce new rotation moment invariants, which are composed of non-separable Appell moments. We prove that Appell polynomials behave under rotation as monomials, which enables easy construction of the invariants. We show by extensive tests that non-separable moments may outperform the separable ones in terms of recognition power and robustness thanks to a better distribution of their zero curves over the image space. |
result_subspec |
WOS |
RIV |
JD |
FORD0 |
10000 |
FORD1 |
10200 |
FORD2 |
10201 |
reportyear |
2023 |
num_of_auth |
5 |
mrcbC52 |
2 R hod 4 4rh 4 20250310152621.4 4 20250310153156.1 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0330272 |
mrcbC61 |
1 |
confidential |
S |
article_num |
108607 |
mrcbC86 |
3+4 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic |
mrcbC91 |
C |
mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
mrcbT16-j |
1.765 |
mrcbT16-s |
2.085 |
mrcbT16-D |
Q1 |
mrcbT16-E |
Q1 |
arlyear |
2022 |
mrcbTft |
\nSoubory v repozitáři: flusser-0555291.pdf |
mrcbU14 |
85125526639 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000784335600003 WOS |
mrcbU63 |
cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 127 č. 1 2022 Elsevier |
|