|Author||Martin, V. ♦ Moncada, V. ♦ Travere, J.|
|Source||IEEE Xplore Digital Library|
|Publisher||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Subject Domain (in DDC)||Technology ♦ Engineering & allied operations|
|Subject Keyword||Cooling ♦ Image reconstruction|
|Abstract||With the development of heterogeneous camera networks working at different wavelengths and frame rates and covering a large surface of vacuum vessel, the visual observation of a large variety of plasma and thermal phenomena (e.g., hot spots, ELMs, MARFE, arcs, dusts, etc.) becomes possible. In the domain of machine protection, a phenomenological diagnostic is a key-element towards plasma/thermal event dangerousness assessment during real time operation. It is also of primary importance to automate the extraction and the storage of phenomena information for further off-line event retrieval and analysis, thus leading to a better use of massive image data bases for plasma physics studies. To this end, efforts have been devoted to the development of image processing algorithms dedicated to the recognition of specific events. But a need arises now for the integration of techniques developed so far in both hardware and software directions. We present in this paper our latests results in the field of real time phenomena recognition and management through our image understanding software platform. This platform has been validated on Tore Supra during operation and is under evaluation for the foreseen imaging diagnostic of ITER.|
|Description||Author affiliation: CEA, IRFM, F-13108 Saint Paul Lez Durance, France (Martin, V.; Moncada, V.; Travere, J.)|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Educational Use||Research ♦ Reading|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Rights Holder||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Size (in Bytes)||1.33 MB|
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