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Activity Number: 411
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #309383
Title: Automatic Detection and Classification of Sunspot Images
Author(s): Thomas C.M. Lee*+ and C. Alex Young
Companies: The Chinese University of Hong Kong and National Aeronautics and Space Administration
Address: Department of Statistics, Shatin, NT, Hong Kong
Keywords: Astro-statistics ; Morphology ; Sunspots

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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