Automatic detection of limb prominences in 304 A EUV images

Labrosse, N. , Dalla, S. and Marshall, S. (2010) Automatic detection of limb prominences in 304 A EUV images. Solar Physics, 262(2), pp. 449-460. (doi: 10.1007/s11207-009-9492-9)

Abstract

A new algorithm for automatic detection of prominences on the solar limb in 304 A EUV images is presented, and results of its application to SOHO/EIT data discussed. The detection is based on the method of moments combined with a classifier analysis aimed at discriminating between limb prominences, active regions, and the quiet corona. This classifier analysis is based on a Support Vector Machine (SVM). Using a set of 12 moments of the radial intensity profiles, the algorithm performs well in discriminating between the above three categories of limb structures, with a misclassification rate of 7%. Pixels detected as belonging to a prominence are then used as starting point to reconstruct the whole prominence by morphological image processing techniques. It is planned that a catalogue of limb prominences identified in SOHO and STEREO data using this method will be made publicly available to the scientific community.

• Item Type: Articles
• Additional Information: The original publication is available at <a href="http://www.springerlink.com">www.springerlink.com</a>
• Keywords: Corona, structures - prominences, quiescent - prominences, active
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Labrosse, Dr Nicolas
• Authors: Labrosse, N., Dalla, S., and Marshall, S.
• Subjects: Q Science > QB Astronomy; Q Science > QC Physics
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Research Group: Astronomy & Astrophysics
• Journal Name: Solar Physics
• Publisher: Springer Verlag
• ISSN: 0038-0938
• ISSN (Online): 1573-093X
• Published Online: 13 January 2010
• Copyright Holders: Copyright © 2010 Springer
• First Published: First published in Solar Physics
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
46593	1	Solar, stellar and cosmological plasmas: a synthesis of data, modelling and theory.	Declan Diver	Science & Technologies Facilities Council (STFC)	ST/F002149/1	Physics and Astronomy