Automated Detection of Accelerating Solar Eruptions Using Parabolic Hough Transform

Solar eruptions such as Coronal Mass Ejections (CMEs) observed in the inner solar corona (up to 4 R$_{\odot}$) show acceleration profiles which appear parabolic ridges height-time plots. Inspired by white-light automated detection algorithms, Computer Aided CME Tracking System (CACTus) and Eruptive Events Detection (SEEDS), we employ Hough Transform for first time automatically detect off-disk {from Due limited availability of observations corona, use Extreme UltraViolet (EUV) images Sun. In this paper present a new algorithm, Identification Inner Corona (CIISCO), is based on Fourier motion filtering transform, demonstrate its implementation using EUV taken from {\it Atmospheric Imaging Assembly} (AIA) on-board Dynamics Observatory (SDO), Ultra Violet Imager} (EUVI) STEREO-A B satellites, Sun Watcher Active Pixel detector Image Processing} (SWAP) Imager PROBA2. We that CIISCO able identify any {off-disk} outward moving feature images. The like CIISCO, can potentially be used provide early warnings CMEs if an telescope located at $\pm$ 90$^{\circ}$ Sun-Earth line, providing characteristics kinematics close This also presents limitations algorithm prospects future improvement.