A recognition of filaments in solar images with an Artificial Neural Network
- V. V. Zharkova,
- University of Bradford,
- University of Exeter
Research Output: Contribution to conference Paper Peer-review
Open access
Abstract
A new technique based on the Artificial Neural Network (ANN) was developed for an automated recognition of solar filaments, dark elongated features visible in the hydrogen H-alpha line full disk spectroheliograms. The ANN was trained on a single fragment containing the filament elements depicted on a local background and then tested on the other 54 image fragments depicting filaments on the backgrounds with variations in brightness. Despite the difference in backgrounds, the ANN has properly recognized filaments in all the testing image fragments. This technique can be extended for an automated recognition of solar filaments in the existing solar catalogues.
Publication Information
Output type
Research Output: Contribution to conference Paper Peer-review
Original language
EnglishPages from-to (Number of pages)
Pages 521-526 (6 pages)Publication milestones
- Published - 2003
Publication status
Published - 2003
External Publication IDs
- Scopus: 105034843375
Access to documents
Accepted author manuscript, 52.41 KB
License:CC BY-NC-ND, opens in new tab
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