Ubiquitous Computing and Communication Journal
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Abstract
Title: ADAPTIVE THRESHOLDING TECHNIQUE FOR SOLAR FILAMENT SEGMENTATION
Authors: Mr. Ibrahim Atoum, Dr. Rami Qahwaji, Dr. Tufan Colak, Dr. Zakir Ahmed
Abstract:
Detecting solar features become an important research study due to its important impact on forecasting space weather. Our study concerned with one important solar feature called filament. The importance of studying this solar feature comes from considering it as a significant indicator for possible occurrence of coronal mass ejections (CMEs), which is considered as the major cause of geomagnetic storms. The stage of solar image segmentation is still a challenge in the scope of adaptive detection of solar features. This paper presents an adaptive thresholding technique for solar filament segmentation from the background. The result of this technique is compared with an intensity filtering stage of an automated detection algorithm.