Oscillation analysis using optical flow: Application to an EUV movie of the solar corona

Movies of the solar corona in Extreme UltraViolet (EUV) bandpasses exhibit complex patterns of magnetically structured plasma features surrounding the solar photosphere. Among the various phenomena to be observed in the EUV movies, coronal oscillations are an essential process for determining physical parameters of the plasma. In this paper we demonstrate the ability of our motion estimation algorithm to explore and analyse the oscillating motions of coronal loops present in EUV image sequences. The motion fields of each image pair in the sequence are estimated; selected features are tracked using the motion estimation to form trajectories. The oscillating features are then selected from the Morlet wavelet analysis of the trajectories that provides parameters such as local oscillation period. The proposed method will be particularly useful to process datasets expected from new solar missions.