Fast Segmentation of Solar Extreme Ultraviolet Images
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 importan...
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| Published in: | Solar physics Vol. 239; no. 1-2; pp. 519 - 530 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Dordrecht
Springer Nature B.V
01-12-2006
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | 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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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
| ISSN: | 0038-0938 1573-093X |
| DOI: | 10.1007/s11207-006-0140-3 |