Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Automatic detection of limb prominences in 304 Å EUV images

Labrosse, N. and Dalla, S. and Marshall, S. (2010) Automatic detection of limb prominences in 304 Å EUV images. Solar Physics, 262 (2). pp. 449-460. ISSN 0038-0938

[img]
Preview
PDF (strathprints020201.pdf)
Download (958Kb) | Preview

    Abstract

    A new algorithm for automatic detection of prominences on the solar limb in 304 Å 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 the 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: Article
    ID code: 20201
    Keywords: corona, prominences, solar physics, Astronomy, Physics, Astronomy and Astrophysics, Space and Planetary Science
    Subjects: Science > Astronomy
    Science > Physics
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
    Depositing user: Professor Stephen Marshall
    Date Deposited: 04 Jun 2010 13:45
    Last modified: 27 Mar 2014 10:26
    URI: http://strathprints.strath.ac.uk/id/eprint/20201

    Actions (login required)

    View Item

    Fulltext Downloads: