Recovery of 3D Solar Magnetic Field Model Parameter Using Image Structure Matching

Authors:
Jong Kwan Lee;G. Allen Gary
Affiliations:
Department of Computer Science, Bowling Green State University, Bowling Green, USA OH 43403;Center for Space Plasma and Aeronomic Research, University of Alabama in Huntsville, Huntsville, USA AL 35899
Venue:
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Year:
2009

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Abstract

An approach to recover a 3D solar magnetic field model parameter using intensity images of the Sun's corona is introduced. The approach is a quantitative approach in which the 3D model parameter is determined via an image structure matching scheme. The image structure matching measures the positional divergence (i.e., pixel-by-pixel shortest Euclidean distance) between the real coronal loop structures in a 2D image to sets of modeled magnetic field structures to determine the best model parameter for a given region on the Sun. The approach's effectiveness is evaluated through experiments on synthetic images and a real image.