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Activity Number:
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411
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #309383 |
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Title:
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Automatic Detection and Classification of Sunspot Images
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Author(s):
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Thomas C.M. Lee*+ and C. Alex Young
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Companies:
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The Chinese University of Hong Kong and National Aeronautics and Space Administration
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Address:
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Department of Statistics, Shatin, NT, Hong Kong
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Keywords:
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Astro-statistics ; Morphology ; Sunspots
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Abstract:
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In this work automatic methods are developed for detecting and classifying sunspots captured in images. An important element of our approach is the use of mathematical morphology. The good performance of our approach is demonstrated via real data examples. Future work include the tracking of detected sunspot features, which will play an important role in the understanding of the evolution of sunspot systems.
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