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http://hdl.handle.net/20.500.12386/26079| Title: | Automatic Identification of EUV structures on the Sun with a Fuzzy Clustering Algorithm | Authors: | CARELLA, Francesco BEMPORAD, Alessandro |
Issue Date: | 2020 | Series: | INAF Technical Reports - Rapporti Tecnici INAF | Report: | 27 | Abstract: | This 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. | URI: | http://hdl.handle.net/20.500.12386/26079 http://dx.doi.org/10.20371/INAF/TechRep/27 |
Fulltext: | open |
| Appears in Collections: | 4.01 Rapporti tecnici INAF |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| article.pdf | 2.42 MB | Adobe PDF | View/Open | |
| autorizzazione Rapporti Tecnici 20.06.10_ABemporad.pdf | [Administrators only] | 123.28 kB | Adobe PDF |
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