Image Processing Techniques and Feature Recognition in Solar Physics

Details Image Processing Techniques and Feature Recognition in Solar Physics Image Processing Techniques and Feature Recognition in Solar Physics

Apr 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010soph..262..235a&link_type=abstract

Solar Physics, Volume 262, Issue 2, pp.235-275

Physics

11

Data Analysis Techniques

Scientific paper

This review presents a comprehensive and systematic overview of image-processing techniques that are used in automated feature-detection algorithms applied to solar data: i) image pre-processing procedures, ii) automated detection of spatial features, iii) automated detection and tracking of temporal features (events), and iv) post-processing tasks, such as visualization of solar imagery, cataloguing, statistics, theoretical modeling, prediction, and forecasting. For each aspect the most recent developments and science results are highlighted. We conclude with an outlook on future trends.

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