Advertisement

Solar Physics

, Volume 228, Issue 1–2, pp 119–135 | Cite as

Automatic Solar Filament Detection Using Image Processing Techniques

  • Ming Qu
  • Frank Y. Shih
  • Ju Jing
  • Haimin Wang
Article

Abstract

We present an automatic solar filament detection algorithm based on image enhancement, segmentation, pattern recognition, and mathematical morphology methods. This algorithm cannot only detect filaments, but can also identify spines, footpoints, and filament disappearances. It consists of five steps: (1) The stabilized inverse diffusion equation (SIDE) is used to enhance and sharpen filament contours. (2) A new method for automatic threshold selection is proposed to extract filaments from local background. (3) The support vector machine (SVM) is used to differentiate between sunspots and filaments. (4) Once a filament is identified, morphological thinning, pruning, and adaptive edge linking methods are used to determine the filament properties. (5) Finally, we propose a filament matching method to detect filament disappearances. We have successfully applied the algorithm to Hα full-disk images obtained at Big Bear Solar Observatory (BBSO). It has the potential to become the foundation of an automatic solar filament detection system, which will enhance our capabilities of forecasting and predicting geo-effective events and space weather.

Keywords

Support Vector Machine Diffusion Equation Space Weather Image Enhancement Image Processing Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bentley, R. D., Csillaghy, A., and Scholl, L.: 2004, Proc. SPIE 5493, 170.ADSGoogle Scholar
  2. Borda, R. A., Mininni, P. D., Mandrini, C. H., Gómez, D. O., Bauer, O. H., and Rovira, M. G.: 2001, Solar Phys. 206, 347.Google Scholar
  3. Bratsolis, E. and Sigelle, M.: 1998, Astron. Astrophys. Suppl. Ser. 131, 371.CrossRefADSGoogle Scholar
  4. Carlowicz, M. and Lopez, R.: 2002, Storms from the Sun: The Emerging Science of Space Weather, National Academies Press, Washington, DC.Google Scholar
  5. Denker, C., Johannesson, A., Goode, P. R., Marquette, W., Wang, H., and Zirin, H.: 1999, Solar Phys. 184, 87.CrossRefADSGoogle Scholar
  6. Fox, P. A., Middleton, D., Solomon, S. C., Garcia, J., Cinquini, L., and West, P.: 2004, Am. Geophys. Union, Fall Meeting 2004, SA54A-07.Google Scholar
  7. Freeland, S. L. and Handy, B. N.: 1998, Solar Phys. 182, 497.CrossRefADSGoogle Scholar
  8. Gallagher, P. T., Moon, Y. J., and Wang, H.: 2002, Solar Phys. 209, 171.CrossRefADSGoogle Scholar
  9. Gallagher, P. T., Denker, C., Yurchychyn, V., Spirock, T., Qiu, J., Marquette, W. H., Wang, H., and Goode, P. R.: 2001, Ann. Geophys. 20, 1105.ADSGoogle Scholar
  10. Gao, J., Wang, H., and Zhou, M.: 2002, Solar Phys. 205, 93.CrossRefADSGoogle Scholar
  11. Gavrishchaka, V. V. and Ganguli, S. B.: 2001, J. Geophys. Res. 106, 29911.ADSGoogle Scholar
  12. Gilbert, H. R., Holzer, T. E., Burkepile, J. T., and Hundhausen, A. J.: 2000, Astrophys. J. 537, 503.CrossRefADSGoogle Scholar
  13. Gonzalez, R. C. and Woods, R. E.: 2002, Digital Image Processing, Prentice Hall, Upper Saddle River, New Jersey.Google Scholar
  14. Gopalswamy, N., Shimojo, M., Lu, W., Yashiro, S., Shibasaki, K., and Howard, R. A.: 2003, Astrophys. J. 586, 562.CrossRefADSGoogle Scholar
  15. Gosling, J. T., McComas, D. J., Phillips, J. L., and Same, S. J.: 1991, J. Geophys. Res. 96, 7381.Google Scholar
  16. Guyon, I. and Stork, D. G.: 2000, Linear Discriminant and Support Vector Machine, MIT Press, Cambridge, Massachusetts.Google Scholar
  17. Hill, F., Bogart, R. S., Davey, A., Dimitoglou, G., Gurman, J. B., Hourcle, J. A., Martens, P. C., Suarez-Sola, I., Tian, K., Wampler, S., and Yoshimura, K.: 2004, Proc. SPIE 5493, 163.ADSGoogle Scholar
  18. Jähne, B.: 1997, Digital Image Processing, Springer, New York.Google Scholar
  19. Jing, J., Yurchyshyn, V. B., Yang, G., Xu, Y., and Wang, H.: 2004, Astrophys. J. 614, 1054.CrossRefADSGoogle Scholar
  20. Kichenassamy, S.: 1997, SIAM. J. Appl. Math. 57, 1328.CrossRefzbMATHMathSciNetGoogle Scholar
  21. Perona, P. and Malik, J.: 1990, IEEE Trans. Pattern Anal. Mach. Intell. 12, 629.CrossRefGoogle Scholar
  22. Pollak, I.: 2002, IEEE Signal Proc. Mag. 19, 26.Google Scholar
  23. Pollak, I., Willsky, A. S., and Krim, H.: 2000, IEEE Trans. Image Proc. 9, 2.Google Scholar
  24. Qu, M., Shih, F. Y., Jing, J., and Wang, H.: 2003, Solar Phys. 217, 157.CrossRefADSGoogle Scholar
  25. Qu, M., Shih, F. Y., Jing, J., and Wang, H.: 2004, Solar Phys. 222, 137.CrossRefADSGoogle Scholar
  26. Shih, F. Y. and Cheng, S.: 2004, Inform. Sci. 167, 9.CrossRefMathSciNetGoogle Scholar
  27. Shih, F. Y. and Gaddipati, V.: 2003, Pattern Recogn. 36, 1489.Google Scholar
  28. Shih, F. Y. and Kowalski, A. J.: 2003, Solar Phys. 218, 99.CrossRefADSGoogle Scholar
  29. Shih, F. Y. and Puttagunta, P.: 1995, IEEE Trans. Image Proc. 4, 1027.Google Scholar
  30. Steinegger, M., Denker, C., Goode, P. R., Marquette, W. H., Varsik, J., Wang, H., Otruba, W., Freislich, H., Hanslmeier, A., Luo, G., Chen, D., and Zhang, Q.: 2001, in A. Wilson (ed.), Proceedings of the 1st SOLSPA Euroconference on the Solar Cycle and Terrestrial Climate, ESA SP-463, p. 617.Google Scholar
  31. Sobotka, M., Brandt, P. N., and Simon, G. W.: 1997, Astron. Astrophys. 328, 682.ADSGoogle Scholar
  32. Turmon, M., Pap, J., and Mukhtar, S.: 2002, Astrophys. J. 568, 396.CrossRefADSGoogle Scholar
  33. Vapnik, N. V.: 1998, in S. Haykin (ed.), Statistical Learning Theory, Wiley, New York.Google Scholar
  34. Vapnik, N. V. and Chervonenkis, A. J.: 1974, Theory of Pattern Recognition, Nauka, Moscow.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Ming Qu
    • 1
  • Frank Y. Shih
    • 1
  • Ju Jing
    • 2
    • 3
  • Haimin Wang
    • 2
    • 3
  1. 1.College of Computing SciencesNew Jersey Institute of TechnologyNewarkU.S.A.
  2. 2.Center for Solar-Terrestrial ResearchNew Jersey Institute of TechnologyNewarkU.S.A.
  3. 3.Big Bear Solar ObservatoryBig Bear CityU.S.A.

Personalised recommendations