Segmentation, Tracking and Characterization of Solar Features from EIT Solar Corona Images

  • Vincent Barra
  • Véronique Delouille
  • Jean-Francois Hochedez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)


With the multiplication of sensors and instruments, size, amount and quality of solar image data are constantly increasing, and analyzing this data requires defining and implementing accurate and reliable algorithms. In the context of solar features analysis, it is particularly important to accurately delineate their edges and track their motion, to estimate quantitative indices and analyse their evolution through time. Herein, we introduce an image processing pipeline that segment, track and quantify solar features from a set of multispectral solar corona images, taken with eit EIT instrument. We demonstrate the method on the automatic tracking of Active Regions from EIT images, and on the analysis of the spatial distribution of coronal bright points. The method is generic enough to allow the study of any solar feature, provided it can be segmented from EIT images or other sources.


Segmentation tracking EIT Images 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Vincent Barra
    • 1
  • Véronique Delouille
    • 2
  • Jean-Francois Hochedez
    • 2
  1. 1.LIMOS, UMR 6158AubièreFrance
  2. 2.Royal Observatory of BelgiumBrusselsBelgium

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