0399779 20240103203354.220140310235959.9 84893197059 10.1007/978-3-642-41822-8_5 8 s. P cav_un_epca*0399658978-3-642-41821-133-40HeidelbergSpringer2013 statistical moments frequency analysis Fourier and wavelet transformations cav_un_auth*0100099 Šimberová Stanislava Sluneční oddělení Department of Solar Physics ASU-R Department of Solar Physics - Team 1 Astronomický ústav AV ČR, v. v. i. cav_un_auth*0101203 Suk Tomáš Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/ZOI/suk-0399779.pdf GAP103/11/1552 GA ČR cav_un_auth*0273618 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. cav_un_auth*0296973 CIARP 2013, Iberoamerican Congress on Pattern Recognition /18./ Havana 20.11.2013-23.11.2013 CU 2014 BN UTIA-B IN RVO:67985815 RVO:67985556 http://hdl.handle.net/11104/0226974 S 2013 84893197059 SCOPUS 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