| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0399779 |
| utime |
20240103203354.2 |
| mtime |
20140310235959.9 |
| SCOPUS |
84893197059 |
| DOI |
10.1007/978-3-642-41822-8_5 |
| title
(primary) (eng) |
Analysis of Dynamic Processes by Statistical Moments of High Orders |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0399658 |
| ISBN |
978-3-642-41821-1 |
| title
|
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |
| page_num |
33-40 |
| publisher |
| place |
Heidelberg |
| name |
Springer |
| year |
2013 |
|
|
| keyword |
statistical moments |
| keyword |
frequency analysis |
| keyword |
Fourier and wavelet transformations |
| author
(primary) |
| ARLID |
cav_un_auth*0100099 |
| name1 |
Šimberová |
| name2 |
Stanislava |
| full_dept (cz) |
Sluneční oddělení |
| full_dept (eng) |
Department of Solar Physics |
| institution |
ASU-R |
| full_dept |
Department of Solar Physics - Team 1 |
| fullinstit |
Astronomický ústav 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. |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP103/11/1552 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273618 |
|
| abstract
(eng) |
We present a new approach to image analysis in temporal sequence of images (data cube). Our method is based on high-order statistical moments (skewness and kurtosis) giving interesting information about a dynamic event in the temporal sequence. The moments enable precise determination of the ”turning points” in the temporal sequence of images. The moment’s curves are analyzed by continuous complex Morlet wavelet that leads to the description of quasi-periodic processes in the investigated event as a time sequence of local spectra. These local spectra are compared with Fourier spectrum. We experimentally illustrate the performance on the real data from astronomical observations. |
| action |
| ARLID |
cav_un_auth*0296973 |
| name |
CIARP 2013, Iberoamerican Congress on Pattern Recognition /18./ |
| place |
Havana |
| dates |
20.11.2013-23.11.2013 |
| country |
CU |
|
| reportyear |
2014 |
| RIV |
BN |
| mrcbC55 |
UTIA-B IN |
| inst_support |
RVO:67985815 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0226974 |
| confidential |
S |
| arlyear |
2013 |
| mrcbU14 |
84893197059 SCOPUS |
| mrcbU63 |
cav_un_epca*0399658 Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 978-3-642-41821-1 33 40 Heidelberg Springer 2013 Lecture Notes in Computer Science 8258 |
|