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Image Processing Techniques and Feature Recognition in Solar Physics

  • Solar Image Processing and Analysis
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Abstract

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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  1. Solar and Astrophysics Laboratory, Lockheed Martin Advanced Technology Center, Bldg. 252, Org. ADBS, 3251 Hanover St., Palo Alto, CA, 94304, USA

    Markus J. Aschwanden

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Solar Image Processing and Analysis

Guest Editors: J. Ireland and C.A. Young

Invited Review, presented at the “Solar Image Processing” Workshop #4, Baltimore, MD, 26 – 30 October 2008. The original publication is available at www.springerlink.com, DOI: 10.1007/s11207-009-9474-y.

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Aschwanden, M.J. Image Processing Techniques and Feature Recognition in Solar Physics. Sol Phys 262, 235–275 (2010). https://doi.org/10.1007/s11207-009-9474-y

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