bibtype |
M -
Monography Chapter
|
ARLID |
0429813 |
utime |
20240103204425.2 |
mtime |
20140722235959.9 |
DOI |
10.15579/gcsr.vol1.ch7 |
title
(primary) (eng) |
2D and 3D Image Analysis by Gaussian-Hermite Moments |
specification |
page_count |
31 s. |
media_type |
P |
book_pages |
288 |
|
serial |
ARLID |
cav_un_epca*0429811 |
ISBN |
978-618-81418-1-0 |
title
|
Moments and Moment Invariants: Theory and Applications |
page_num |
143-173 |
publisher |
place |
Xanthi |
name |
Science Gate Publishing |
year |
2014 |
|
editor |
name1 |
Papakostas |
name2 |
G. A. |
|
|
keyword |
Hermite polynomials |
keyword |
Digital image |
keyword |
Moments |
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*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. |
|
author
|
ARLID |
cav_un_auth*0304782 |
name1 |
Dai |
name2 |
M. |
country |
FR |
|
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. |
|
source |
|
cas_special |
project |
project_id |
GAP103/11/1552 |
agency |
GA ČR |
ARLID |
cav_un_auth*0273618 |
|
abstract
(eng) |
This chapter introduces 2D and 3D Gaussian-Hermite moments and rotation invariants constructed from them. Thanks to their numerical stability, Gaussian-Hermite moments provide better reconstruction and recognition power than the geometric and most of other orthogonal moments while keeping the simplicity of design of the invariants. This is illustrated by experiments on real 2D and 3D data. |
reportyear |
2015 |
RIV |
JD |
num_of_auth |
4 |
permalink |
http://hdl.handle.net/11104/0234853 |
confidential |
S |
arlyear |
2014 |
mrcbU63 |
cav_un_epca*0429811 Moments and Moment Invariants: Theory and Applications 978-618-81418-1-0 143 173 Xanthi Science Gate Publishing 2014 Gate to Computer Science and Research Volume 1 |
mrcbU67 |
Papakostas G. A. 340 |
|