Algorithms for the Automatic Identification of MARFEs and UFOs in JET Database of Visible Camera Videos

• Published in: IEEE transactions on plasma science Vol. 38; no. 12; pp. 3409 - 3418
• Main Authors: Murari, A, Camplani, M, Cannas, B, Mazon, D, Delaunay, F, Usai, P, Delmond, J F
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.12.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Cameras; Exact sciences and technology; Hu moments; Image retrieval; MARFE detection system (MDS); Morphology; Object recognition; Operators; Physics; Physics of gases, plasmas and electric discharges; Physics of plasmas and electric discharges; Plasma; Plasma diagnostics; Real time; Real time systems; Signatures; Statistics; UFO; Unidentified flying objects; unidentified flying objects (UFOs); Video; video processing; Video signal processing; Algorithms; Hu moments; MARFE detection system (MDS); MARFE; unidentified flying objects (UFOs); Database; Theoretical study; Plasma disruption; video processing
• ISSN: 0093-3813; 1939-9375
• DOI: 10.1109/TPS.2010.2080691

MARFE instabilities and UFOs leave clear signatures in JET fast visible camera videos. Given the potential harmful consequences of these events, particularly as triggers of disruptions, it would be important to have the means of detecting them automatically. In this paper, the results of various algorithms to identify automatically the MARFEs and UFOs in JET visible videos are reported. The objective is to retrieve the videos, which have captured these events, exploring the whole JET database of images, as a preliminary step to the development of real-time identifiers in the future. For the detection of MARFEs, a complete identifier has been finalized, using morphological operators and Hu moments. The final algorithm manages to identify the videos with MARFEs with a success rate exceeding 80%. Due to the lack of a complete statistics of examples, the UFO identifier is less developed, but a preliminary code can detect UFOs quite reliably.