Abstract
In this paper techniques are described for the automated detection of solar Active Regions (ARs). AR detection is achieved using intensity thresholds and a region growing procedure. These procedures have been tested on full-disk solar images from the Meudon observatory for the months of April and July 2002 and compared with their manually generated synoptic maps. Comparisons were also made with AR data published by the National Oceanic and Atmospheric Administration observatory (NOAA) and very good correspondence was found.
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Benkhalil, A., Zharkova, V., Ipson, S., Zharkov, S. (2004). Automatic Detection of Active Regions on Solar Images. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_62
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DOI: https://doi.org/10.1007/978-3-540-30134-9_62
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