Image Manipulation for High Temperature Plasmas

A. Murari, J. Vega, D. Mazon, J.F. Delmond, M. Gelfusa, A. Szappanos, Jet-Efda Contributors

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Abstract

In magnetic confinement Nuclear Fusion video cameras have become routine diagnostics, which can produce gigabytes of data per discharge. New tools and methods are required to manipulate the frames of these videos to obtain the required information. New algorithms have been developed, which implement pattern recognition methods to search the repositories of videos on the basis of their content and not on their address. Real time automatic analysis of videos has motivated the development of machine learning tools to classify objects in images. The identification and tracking of objects in the videos of Tokamak diagnostics requires the computation of image descriptors, which are insensitive to rotation, translation and rescaling. The Hu moments have proved to be quite effective in performing this image analysis task. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Original languageEnglish
Pages (from-to)187 - 193
Number of pages7
JournalContributions to Plasma Physics
Volume51
Issue number2-3
DOIs
Publication statusPublished - Mar 2011
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics

Cite this

Murari, A., Vega, J., Mazon, D., Delmond, J. F., Gelfusa, M., Szappanos, A., & Jet-Efda Contributors (2011). Image Manipulation for High Temperature Plasmas. Contributions to Plasma Physics, 51(2-3), 187 - 193. https://doi.org/10.1002/ctpp.201000043