Fast Segmentation of Solar Extreme Ultraviolet Images |
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| Authors: | T Dudok De Wit |
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| Institution: | (1) Laboratoire de Physique et Chimie de l’Environnement, UMR 6115 CNRS and University of Orléans, 3A Avenue de la Recherche Scientifique, F-45071 Orléans Cedex 2, France |
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| Abstract: | A segmentation scheme for identifying large-scale structures (coronal holes, active regions, etc.) in solar extreme ultraviolet images, is presented. Unlike standard approaches, both the image intensity and the relative
contribution of different wavelengths are used. Spectral information is important for compensating luminosity changes. The
approach is illustrated with images taken in the extreme ultraviolet by the EIT telescope onboard SOHO. This supervised segmentation
scheme, which incorporates a Bayesian classifier, is computationally simple, and can easily be used to track in near-real
time structures, such as coronal holes. |
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