Oriented connectivity-based method for segmenting solar loops

Authors:
Jong Kwan Lee;Timothy S. Newman;G. Allen Gary
Affiliations:
Department of Computer Science, University of Alabama in Huntsville, Huntsville, AL 35899, USA;Department of Computer Science, University of Alabama in Huntsville, Huntsville, AL 35899, USA;Space Sciences Branch (XD12), Marshall Space Flight Center/NASA, Huntsville, AL 35812, USA
Venue:
Pattern Recognition
Year:
2006

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Abstract

A method based on oriented connectivity that can automatically segment arc-like structures (solar loops) from intensity images of the Sun's corona is introduced. The method is a constructive approach that uses model-guided processing to enable extraction of credible loop structures. Since the solar loops are vestiges of the solar magnetic field, the model-guided processing exploits external estimates of this field's local orientations that are derived from a physical magnetic field model. Empirical studies of the method's effectiveness are also presented. The oriented connectivity-based method is the first automatic method for the segmentation of solar loops.