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17th International Conference on Pattern Recognition (ICPR'04) - Volume 4
Automated Detection of Solar Loops by the Oriented Connectivity Method
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Jong Kwan Lee, Timothy S. Newman, G. Allen Gary, "Automated Detection of Solar Loops by the Oriented Connectivity Method," Pattern Recognition, International Conference on, vol. 4, pp. 315-318, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1333766,
author = {Jong Kwan Lee and Timothy S. Newman and G. Allen Gary},
title = {Automated Detection of Solar Loops by the Oriented Connectivity Method},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2004},
issn = {1051-4651},
pages = {315-318},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333766},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Automated Detection of Solar Loops by the Oriented Connectivity Method
SN - 1051-4651
SP315
EP318
A1 - Jong Kwan Lee,
A1 - Timothy S. Newman,
A1 - G. Allen Gary,
PY - 2004
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Jong Kwan Lee, Univ. of Alabama in Huntsville
Timothy S. Newman, Univ. of Alabama in Huntsville
G. Allen Gary, Marshall Space Flight Center/NASA
An automated technique to segment solar coronal loops from intensity images of the Sun's 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 field's orientation. Its effectiveness is evaluated through experiments on synthetic and real coronal images.
Citation:
Jong Kwan Lee, Timothy S. Newman, G. Allen Gary, "Automated Detection of Solar Loops by the Oriented Connectivity Method," icpr, vol. 4, pp.315-318, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004
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