CARELLA, FrancescoFrancescoCARELLABEMPORAD, AlessandroAlessandroBEMPORAD2020-06-162020-06-162020http://hdl.handle.net/20.500.12386/26079http://dx.doi.org/10.20371/INAF/TechRep/27This technical report describes the first implementation of a Fuzzy c-means (FCM) algorithm for the automatic identification of structures on the Sun based on EUV images and photospheric magnetograms. Before the application of FCM, the AIA 193 Å images and HMI LOS magnetograms acquired by SDO have been pre-processed, and a geometrical approach to correct the limb brightening of EUV images is applied. Then, the images and the magnetograms are analyzed pixel-by-pixel by determining the degree of membership of each pixel to one of clusters, previously defined based on the analysis of a sample training dataset. The routines are written in IDL programming language and will be inserted in the SWELTO pipeline. The work described here was the subject of a Degree Thesis in Physics.ELETTRONICOenAutomatic Identification of EUV structures on the Sun with a Fuzzy Clustering AlgorithmTechnical reportFIS/05 - ASTRONOMIA E ASTROFISICAERC sectors::Physical Sciences and Engineering::PE9 Universe sciences: astro-physics/chemistry/biology; solar systems; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation::PE9_1 Solar and interplanetary physics