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Solar Physics

, Volume 228, Issue 1–2, pp 43–53 | Cite as

Fractal-Based Fuzzy Technique For Detection Of Active Regions From Solar Images

  • K. RevathyEmail author
  • S. Lekshmi
  • S. R. Prabhakaran Nayar
Article

Abstract

Fractal concepts are used to describe the irregular structures and regions of interest of solar images. The most common and easiest way to extract regions of interest from an image is through segmentation. Segmentation techniques vary from conventional edge-detection mechanism to fuzzy c-means clustering. In this study, the pixelwise local fractal dimension of solar images is computed by different techniques. This is followed by different segmentation procedures including the fuzzy-based approach, for extracting the active regions from chromospheric images and assessing their performance. These techniques have also been applied on solar images to extract active regions from Solar Heliospheric Observatory (SOHO) Extreme Ultraviolet Telescope (EIT) images.

Keywords

Active Region Fractal Dimension Segmentation Technique Extreme Ultraviolet Irregular Structure 
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.

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Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • K. Revathy
    • 1
    Email author
  • S. Lekshmi
    • 1
  • S. R. Prabhakaran Nayar
    • 2
  1. 1.Department of Computer ScienceUniversity of KeralaKariavattomIndia
  2. 2.Department of PhysicsUniversity of KeralaKariavattomIndia

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