AUTOMATED DETECTION AND CLASSIFICATION OF SOLAR IMAGE FEATURES

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 full-disk Hα (Hydrogen-Alpha) mages successfully. The solar H-α 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.