bibtype |
J -
Journal Article
|
ARLID |
0359752 |
utime |
20240103195212.2 |
mtime |
20110601235959.9 |
WOS |
000291834800020 |
SCOPUS |
79957463232 |
DOI |
10.1016/j.patcog.2010.05.015 |
title
(primary) (eng) |
Affine Moment Invariants Generated by Graph Method |
specification |
|
serial |
ARLID |
cav_un_epca*0257388 |
ISSN |
0031-3203 |
title
|
Pattern Recognition |
volume_id |
44 |
volume |
9 (2011) |
publisher |
|
|
keyword |
Image moments |
keyword |
Object recognition |
keyword |
Affine transformation |
keyword |
Affine moment invariants |
keyword |
Pseudoinvariants |
keyword |
Graph representation |
keyword |
Irreducibility |
keyword |
Independence |
author
(primary) |
ARLID |
cav_un_auth*0101203 |
name1 |
Suk |
name2 |
Tomáš |
full_dept (cz) |
Zpracování obrazové informace |
full_dept (eng) |
Department of Image Processing |
department (cz) |
ZOI |
department (eng) |
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*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 |
GA102/08/1593 |
agency |
GA ČR |
country |
CZ |
ARLID |
cav_un_auth*0239572 |
|
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
The paper presents a general method of an automatic deriving affine moment invariants of any weights and orders. The method is based on representation of the invariants by graphs. We propose an algorithm for eliminating reducible and dependent invariants. This method represents a systematic approach to the generation of all relevant moment features for recognition of affinely distorted objects. We also show the difference between pseudoinvariants and true invariants. |
reportyear |
2012 |
RIV |
IN |
mrcbC52 |
4 A 4a 20231122134545.5 |
permalink |
http://hdl.handle.net/11104/0197473 |
mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
mrcbT16-f |
3.172 |
mrcbT16-g |
0.363 |
mrcbT16-h |
7.2 |
mrcbT16-i |
0.03507 |
mrcbT16-j |
1.278 |
mrcbT16-k |
11092 |
mrcbT16-l |
240 |
mrcbT16-q |
108 |
mrcbT16-s |
1.171 |
mrcbT16-y |
38.75 |
mrcbT16-x |
4.02 |
mrcbT16-4 |
Q1 |
mrcbT16-B |
89.613 |
mrcbT16-C |
85.076 |
mrcbT16-D |
Q1* |
mrcbT16-E |
Q1 |
arlyear |
2011 |
mrcbTft |
\nSoubory v repozitáři: suk-0359752.pdf |
mrcbU14 |
79957463232 SCOPUS |
mrcbU34 |
000291834800020 WOS |
mrcbU63 |
cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 44 č. 9 2011 2047 – 2056 Elsevier |
|