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Segmentation of Coronal Holes Using Active Contours Without Edges

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Abstract

An application of active contours without edges is presented as an efficient and effective means of extracting and characterizing coronal holes. Coronal holes are regions of low-density plasma on the Sun with open magnetic field lines. The detection and characterization of these regions is important for testing theories of their formation and evolution, and also from a space weather perspective because they are the source of the fast solar wind. Coronal holes are detected in full-disk extreme ultraviolet (EUV) images of the corona obtained with the Solar Dynamics Observatory Atmospheric Imaging Assembly (SDO/AIA). The proposed method detects coronal boundaries without determining any fixed intensity value in the data. Instead, the active contour segmentation employs an energy-minimization in which coronal holes are assumed to have more homogeneous intensities than the surrounding active regions and quiet Sun. The segmented coronal holes tend to correspond to unipolar magnetic regions, are consistent with concurrent solar wind observations, and qualitatively match the coronal holes segmented by other methods. The means to identify a coronal hole without specifying a final intensity threshold may allow this algorithm to be more robust across multiple datasets, regardless of data type, resolution, and quality.

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Notes

  1. http://shinecon.org/PastMeetings/Meetings_past.php .

  2. http://www.mathworks.com/help/images/ref/activecontour.html .

  3. http://shinecon.org/PastMeetings/Meetings_past.php .

  4. http://www.predsci.com/chd/chd_software.html .

  5. http://www.boulder.swri.edu/swamis/ .

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Acknowledgements

The authors gratefully acknowledge NASA PAARE grant AST-0849986, NASA EPSCoR grant NNX09AP76A, and NSF CAREER grant 1255024, which helped support this work. The authors also thank Michael Kirk for productive discussions regarding this work and comments on the manuscript. SDO images used in this work are courtesy of NASA/SDO and the AIA, EVE, and HMI science teams.

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Authors and Affiliations

  1. Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM, 88003, USA

    L. E. Boucheron & M. Valluri

  2. Qualcomm, 5775 Morehouse Drive, San Diego, CA, 92121, USA

    M. Valluri

  3. Department of Astronomy, New Mexico State University, Las Cruces, NM, 88003, USA

    R. T. J. McAteer

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  1. L. E. Boucheron
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  2. M. Valluri
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  3. R. T. J. McAteer
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Correspondence to L. E. Boucheron.

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Boucheron, L.E., Valluri, M. & McAteer, R.T.J. Segmentation of Coronal Holes Using Active Contours Without Edges. Sol Phys 291, 2353–2372 (2016). https://doi.org/10.1007/s11207-016-0985-z

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