DocumentCode
3427217
Title
Automated detection of solar loops by the oriented connectivity method
Author
Lee, Jong Kwan ; Newman, Timothy S. ; Gary, G. Allen
Author_Institution
Dept. of Comp. Sci., Alabama Univ., Huntsville, AL, USA
Volume
4
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
315
Abstract
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.
Keywords
astronomy computing; feature extraction; image denoising; image segmentation; object detection; solar corona; solar magnetism; automated detection; constructive curve detection; feature extraction; image segmentation; noisy images; oriented connectivity method; solar coronal loops; solar magnetic field; Computer vision; Corona; Couplings; Image edge detection; Image segmentation; Magnetic fields; NASA; Robustness; Satellites; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1333766
Filename
1333766
Link To Document