Automated detection and classification of solar image features
Document Type
Syllabus
Publication Date
1-1-2009
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.
Identifier
84969716628 (Scopus)
ISBN
[9814273384, 9789814273381, 9789814273398]
Publication Title
Handbook of Pattern Recognition and Computer Vision Fourth Edition
External Full Text Location
https://doi.org/10.1142/9789814273398_019
First Page
435
Last Page
452
Recommended Citation
Shih, Frank Y., "Automated detection and classification of solar image features" (2009). Faculty Publications. 12241.
https://digitalcommons.njit.edu/fac_pubs/12241
