Automated detection and classification of solar image features

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The techniques of automated detection and classification of solar image features based on image enhancement, segmentation, pattern recognition, and mathematical morphology methods are presented in this chapter. The solar features include flares and filament. These methods have been applied to fulldisk Há (Hydrogen-Alpha) mages successfully. The solar H-á images were obtained from the Big Bear Solar Observatory in California, USA. The methods presented can lead to real-time solar features detection and classification using advanced image processing and pattern recognition techniques.

Original languageEnglish (US)
Title of host publicationHandbook of Pattern Recognition and Computer Vision, Fourth Edition
PublisherWorld Scientific Publishing Co.
Pages435-452
Number of pages18
ISBN (Electronic)9789814273398
ISBN (Print)9814273384, 9789814273381
DOIs
StatePublished - Jan 1 2009

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)

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