| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0397178 |
| utime |
20240103203053.1 |
| mtime |
20131112235959.9 |
| WOS |
000329811200038 |
| DOI |
10.1007/978-3-642-41184-7_38 |
| title
(primary) (eng) |
Invariants to symmetrical convolution with application to dihedral kernel symmetry |
| specification |
| page_count |
10 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0395916 |
| ISBN |
978-3-642-41183-0 |
| title
|
Image Analysis and Processing – ICIAP 2013 |
| part_title |
Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| page_num |
369-378 |
| publisher |
| place |
Berlin |
| name |
Springer-Verlag |
| year |
2013 |
|
| editor |
|
|
| keyword |
moment invariants |
| keyword |
dihedral symmetry |
| keyword |
symmetrical blur |
| author
(primary) |
| ARLID |
cav_un_auth*0101071 |
| name1 |
Boldyš |
| name2 |
Jiří |
| 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 |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| abstract
(eng) |
We derive invariants to convolution with a symmetrical kernel in an arbitrary dimension. They are expressed in the Fourier domain as a ratio of the Fourier transform and of the symmetrical projection of the Fourier transform. In 2D and for dihedral symmetries particularly, we newly express the invariants as moment forms suitable for practical calculations. We clearly demonstrate on real photographs, that all the derived invariants are irreplaceable in pattern recognition. We further demonstrate their invariance and discriminability. We expect there is potential to use these invariants also in other fields, including microscopy. |
| action |
| ARLID |
cav_un_auth*0294771 |
| name |
Image Analysis and Processing – ICIAP 2013 |
| place |
Neapol |
| dates |
11.09.2013-13.09.2013 |
| country |
IT |
|
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0225889 |
| arlyear |
2013 |
| mrcbU34 |
000329811200038 WOS |
| mrcbU63 |
cav_un_epca*0395916 Image Analysis and Processing – ICIAP 2013 978-3-642-41183-0 369 378 Berlin Springer-Verlag 2013 Lecture Notes in Computer Science 8157 Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| mrcbU67 |
Petrosino A. 340 |
|