Detection and Tracking of Coronal Mass Ejections

  • Goussies Norberto
  • Mejail Marta
  • Jacobo Julio
  • Stenborg Guillermo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)


Coronal Mass Ejection (CME) events refer to the appearance of a new, discrete, white-light feature (with outward velocity) in a coronagraph. The huge amount of data provided by the pertinent instruments onboard the Solar and Heliospheric Observatory (SOHO) and, most recently, the Solar Terrestrial Relations Observatory (STEREO) makes the human-based detection of such events excessively time consuming. Although several algorithms have been proposed to address this issue, there is still lack of universal consensus about their reliability. This work presents a novel method for the detection and tracking of CMEs as recorded by the LASCO instruments onboard SOHO. The algorithm we developed is based on level sets and region competition methods, the CMEs texture being characterized by their co-ocurrence matrix. The texture information is introduced in the region competition motion equations, and in order to evolve the curve, a fast level set implementation is used.


Level Sets Region Competition Textures CMEs 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Goussies Norberto
    • 1
  • Mejail Marta
    • 1
  • Jacobo Julio
    • 1
  • Stenborg Guillermo
    • 2
  1. 1.Computer Science Department, School of Exact and Natural SciencesUniversity of Buenos AiresArgentina
  2. 2.Centre for Solar Physics and Space WeatherCatholic University of AmericaUSA

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