Solar eruptions such as coronal mass ejections (CMEs) observed in the inner solar corona (up to 4 R_⊙) show acceleration profiles that appear as parabolic ridges in height–time plots. Inspired by the white-light automated detection algorithms Computer Aided CME Tracking System (CACTus) and Solar Eruptive Events Detection System (SEEDS), we employ the parabolic Hough transform for the first time to automatically detect off-disk solar eruptions from height–time plots. Due to the limited availability of white-light observations in the inner corona, we use extreme ultraviolet (EUV) images of the Sun. In this article we present a new algorithm, CME Identification in Inner Solar Corona (CIISCO), that is based on Fourier motion filtering and the parabolic Hough transform, and we demonstrate its implementation using EUV observations taken by the Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO), Extreme Ultra Violet Imager (EUVI) onboard the STEREO-A and -B spacecraft, and Sun Watcher using Active Pixel System detector and Image Processing (SWAP) onboard the PRoject for On-Board Autonomy-2 (PROBA2) spacecraft. We show that CIISCO is able to identify off-disk, outward-moving features in EUV images. The use of automated detection algorithms, such as CIISCO, can potentially be used to provide early warnings of CMEs if an EUV telescope is located at \(\pm 90^{\circ }\) from the Sun–Earth line, providing CME characteristics and kinematics close to the Sun. This article also presents the limitations of this algorithm and the prospects for future improvement.

在太阳内部日冕中观测到太阳喷发，例如日冕物质抛射（CME）（高达4 _R⊙）显示的加速度曲线在高度-时间图中显示为抛物线形的脊。受白光自动检测算法计算机辅助CME跟踪系统（CACTus）和太阳喷发事件检测系统（SEEDS）的启发，我们首次采用抛物线霍夫变换从高度-时间图中自动检测出盘外太阳喷发。 。由于内部日冕中白光观测的可用性有限，我们使用了太阳的极端紫外线（EUV）图像。在本文中，我们提出了一种基于傅立叶运动滤波和抛物线式霍夫变换的新算法，即内部太阳电晕中的CME识别（CIISCO），并且我们将利用船上大气成像组件（AIA）的EUV观测值来演示其实现的太阳动力学天文台（SDO），STEREO-A和-B航天器上的极紫外成像仪（EUVI），以及PRoject板载Autonomy-2（PROBA2 ）上使用有源像素系统检测器和图像处理（SWAP）的Sun Watcher）航天器。我们证明CIISCO能够识别EUV图像中的磁盘外向外移动功能。如果EUV望远镜位于太阳地球线的\（\ pm 90 ^ {\ circ} \）处，则可以使用自动检测算法（例如CIISCO）来提供CME的早期警告，从而提供CME特性和运动学接近太阳。本文还介绍了该算法的局限性以及未来改进的前景。