| bibtype |
J -
Journal Article
|
| ARLID |
0432452 |
| utime |
20240103204718.5 |
| mtime |
20141013235959.9 |
| WOS |
000343345500007 |
| DOI |
10.1016/j.ins.2014.07.046 |
| title
(primary) (eng) |
Fast computation of Krawtchouk moments |
| specification |
| page_count |
14 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0256752 |
| ISSN |
0020-0255 |
| title
|
Information Sciences |
| volume_id |
288 |
| volume |
1 (2014) |
| page_num |
73-86 |
| publisher |
|
|
| keyword |
Krawtchouk polynomial |
| keyword |
Krawtchouk moment |
| keyword |
Geometric moment |
| keyword |
Impulse response |
| keyword |
Fast computation |
| keyword |
Digital filter |
| author
(primary) |
| ARLID |
cav_un_auth*0307652 |
| name1 |
Honarvar Shakibaei Asli |
| name2 |
B. |
| country |
MY |
|
| 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) |
The paper describes the calculation of the Krawtchouk Moments (KMs) from an image, which is a computationally demanding task. We present two original methods that use the outputs of cascaded digital filters in deriving KMs. The first approach uses the digital filter outputs to form geometric moments (GMs) and the KMs are obtained via GMs. The second method uses a direct relationship to obtain KMs from the digital filter outputs. This is possible thanks to the formulation of Krawtchouk polynomials in terms of binomial functions, which are equivalent to the digital filter outputs. In this study, the performance of the proposed techniques is compared with other existing methods of KMs calculation. The experimental study shows that the first and the second proposed techniques perform 57% and 87% faster than the recurrence method for a real image of a size 128 x 128 pixels,which performs a significant improvement. |
| reportyear |
2015 |
| RIV |
JD |
| num_of_auth |
2 |
| mrcbC52 |
4 A 4a 20231122140452.7 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0237107 |
| confidential |
S |
| mrcbT16-e |
COMPUTERSCIENCEINFORMATIONSYSTEMS |
| mrcbT16-j |
0.873 |
| mrcbT16-s |
2.226 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
74.327 |
| mrcbT16-C |
96.043 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q1* |
| arlyear |
2014 |
| mrcbTft |
\nSoubory v repozitáři: flusser-0432452.pdf |
| mrcbU34 |
000343345500007 WOS |
| mrcbU63 |
cav_un_epca*0256752 Information Sciences 0020-0255 1872-6291 Roč. 288 č. 1 2014 73 86 Elsevier |
|