Fast Segmentation of Solar Extreme Ultraviolet Images

Details Fast Segmentation of Solar Extreme Ultraviolet Images Fast Segmentation of Solar Extreme Ultraviolet Images

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006soph..239..519d&link_type=abstract

Solar Physics, Volume 239, Issue 1-2, pp. 519-530

Physics

8

Scientific paper

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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