Segmentation, Tracking and Characterization of Solar Features from EIT Solar Corona Images

With the multiplication of sensors and instrument,site. amount and quality of solar image data. are constantly increasing, and analyzing this data requires defining awl implementing accurate and reliable algorithms. In the context of solar features analysis, it is particularly important,ut to accurately delineate their edges and track their motion, to estimate quantitative indices awl analyse their evolution through time. Herein; eve introduce an image processing pipeline that segment;; track and quantify solar features from a set of multispectral solar corolla images; taken with eit EIT instrument. We demonstrate the method oil the automatic tracking of Active Regions from EIT images; and oil die analysis of the spatial distribution of coronal bright points. The method is generic enough to allow the study of ally solar feature; provided it call be segmented from EIT images or other sources.