Speaker
Description
Solar filaments are dark, thread-like structures of cool, dense plasma seen on the Suns’s surface. They usually mark a boundary between two opposite magnetic regions and may last for multiple days, changing their form, but eventually they vanish. Their disappearance may end up with a CME associated with geomagnetic storms that affect the geospace. Therefore filament tracking is an important task of space weather. In this work I implemented an algorithm in Python for the automatic extraction and tracking of the evolution of filaments in solar H-alpha and radio images. I will describe the main steps in the algorithm that involve: preprocessing of the images, application of morphological closing operations with multi-directional linear structuring elements, noise removal and, finally, feature selection. The results of the application of the algorithm for two cases involving observations in H-alpha and Radio are presented, which demonstrate its efficiency.