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 language | English (US) |
|---|---|
| Title of host publication | Handbook of Pattern Recognition and Computer Vision, Fourth Edition |
| Publisher | World Scientific Publishing Co. |
| Pages | 435-452 |
| Number of pages | 18 |
| ISBN (Electronic) | 9789814273398 |
| ISBN (Print) | 9814273384, 9789814273381 |
| DOIs | |
| State | Published - Jan 1 2009 |
All Science Journal Classification (ASJC) codes
- General Biochemistry, Genetics and Molecular Biology
- General Computer Science