| bibtype |
J -
Journal Article
|
| ARLID |
0478329 |
| utime |
20240103214535.1 |
| mtime |
20170921235959.9 |
| SCOPUS |
85032255391 |
| WOS |
000417547800009 |
| DOI |
10.1016/j.patcog.2017.09.004 |
| title
(primary) (eng) |
Rotation invariants of vector fields from orthogonal moments |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0257388 |
| ISSN |
0031-3203 |
| title
|
Pattern Recognition |
| volume_id |
74 |
| volume |
1 (2018) |
| page_num |
110-121 |
| publisher |
|
|
| keyword |
Vector field |
| keyword |
Total rotation |
| keyword |
Invariants |
| keyword |
Gaussian–Hermite moments |
| keyword |
Zernike moments |
| keyword |
Numerical stability |
| author
(primary) |
| ARLID |
cav_un_auth*0236665 |
| name1 |
Yang |
| name2 |
B. |
| country |
CN |
|
| author
|
| ARLID |
cav_un_auth*0336802 |
| name1 |
Kostková |
| name2 |
Jitka |
| 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*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. |
|
| author
|
| ARLID |
cav_un_auth*0349350 |
| name1 |
Bujack |
| name2 |
R. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0360229 |
| project_id |
GA18-07247S |
| agency |
GA ČR |
|
| abstract
(eng) |
Vector field images are a type of new multidimensional data that appear in many engineering areas. Although the vector fields can be visualized as images, they differ from graylevel and color images in several aspects. To analyze them, special methods and algorithms must be originally developed or sub- stantially adapted from the traditional image processing area. In this paper, we propose a method for the description and matching of vector field patterns under an unknown rotation of the field. Rotation of a vector field is so-called total rotation, where the action is applied not only on the spatial coordinates but also on the field values. Invariants of vector fields with respect to total rotation constructed from orthogonal Gaussian–Hermite moments and Zernike moments are introduced. Their numerical stability is shown to be better than that of the invariants published so far. We demonstrate their usefulness in a real world template matching application of rotated vector fields. |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2019 |
| num_of_auth |
5 |
| mrcbC52 |
4 A hod 4ah 20231122142648.7 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0274420 |
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS |
| confidential |
S |
| mrcbC86 |
1 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
1.402 |
| mrcbT16-s |
1.363 |
| mrcbT16-B |
84.24 |
| mrcbT16-D |
Q1 |
| mrcbT16-E |
Q1 |
| arlyear |
2018 |
| mrcbTft |
\nSoubory v repozitáři: flusser-0478329.pdf |
| mrcbU14 |
85032255391 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000417547800009 WOS |
| mrcbU63 |
cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 74 č. 1 2018 110 121 Elsevier |
|