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Comparison of Five Numerical Codes for Automated Tracing of Coronal Loops View all abstracts by submitter

Markus J. Aschwanden   Submitted: 2007-05-21 13:11

The 3D modeling of coronal loops and filaments requires algorithms that automatically trace curvi-linear features in solar EUV or soft X-ray images. We compare 5 existing algorithms that have been developed and customized to trace curvi-linear features in solar images: (1) oriented-connectivity method (OCM), which is an extension of the Strous pixel labeling algorithm (developed by Lee, Newman, and Gary); (2) dynamic aperture-based loop segmentation method (developed by Lee, Newman, and Gary); (3) unbiased detection of curvi-linear structures (developed by Steger, Raghupathy, and Smith); (4) oriented-direction method (developed by Aschwanden); and (5) ridge detection by automated scaling method (developed by Inhester). We test the 5 existing numerical codes with a TRACE image that shows a bipolar active region and contains over 100 discernable loops. We evaluate the performance of the 5 codes by comparing the cumulative distribution of loop lengths, the median and maximum loop length, the completeness or detection efficiency, the accuracy, and flux sensitivy. These algorithms are useful for the reconstruction of the 3D geometry of coronal loops from stereoscopic observations with the STEREO spacecraft, or for quantitative comparisons of observed EUV loop geometries with (nonlinear force-free) magnetic field extrapolation models.

Authors: Markus Aschwanden, Jong Kwan Lee, G. Allen Gary, Mike Smith, & Bernd Inhester
Projects: TRACE

Publication Status: submitted to Solar Physics for Topical Issue on Challenges in Solar Image Analysis and Visualization, presented at 3rd Solar Image Processing Workshop in Dublin, Ireland, 6-8 Sept 2006
Last Modified: 2007-05-22 08:55
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