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Automated Detection of Solar Loops by the Orientated Connectivity Method View all abstracts by submitter

G. Allen Gary   Submitted: 2004-03-22 08:38

An automated technique to segment solar coronal loops from intensity images of the Sunís corona is introduced. It exploits physical characteristics of the solar magnetic field to enable robust extraction from noisy images. The technique is a constructive curve detection approach, constrained by collections of estimates of the magnetic fieldís orientation. Its effectiveness is evaluated through experiments on synthetic and real coronal images.

Authors: Jong K. Lee (UAH), Timothy S. Newman (UAH), and G. Allen Gary (MSFC)
Projects: TRACE

Publication Status: Accepted for the 17th International Conference on Pattern Recognition
Last Modified: 2004-03-22 08:38
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