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Comparing different thresholding algorithms for segmenting auroras

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9 Author(s)
X. Li ; Alabama Univ., Huntsville, AL, USA ; R. Ramachandran ; M. He ; Sunil Movva
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Extracting aurora oval boundary from spacecraft UV imagery is not a trivial problem. The distinction between aurora and background varies depending on the factors such as the date, time of the day, and satellite position. Thresholding technique is a well-known technique for detecting aurora boundary from satellite imagery. In this study, three distinct thresholding algorithms, mixture modeling, fuzzy sets and entropy thresholding were applied to a selected set of UV images measured on board Polar satellite to examine their effectiveness in aurora boundary detection. Two thresholding approaches were taken: global thresholding and adaptive thresholding. As expected, adaptive thresholding approach showed better results. In addition to these algorithms, another new algorithm (edge-based) was examined using adaptive approach. This thresholding algorithm detects aurora oval by identifying the boundary transition between aurora and background. The results from these different algorithms are presented.

Published in:

Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on  (Volume:2 )

Date of Conference:

5-7 April 2004