DocumentCode :
2951286
Title :
Application of Cellular Neural Network Methods to Real Time Image Analysis in Plasma Fusion
Author :
Vagliasindi, G. ; Murari, A. ; Arena, P. ; Fortuna, Luigi ; Mazzitelli, G.
Author_Institution :
Univ. degli Studi di Catania, Catania
fYear :
2007
fDate :
3-5 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
In modern tokamaks visible and infrared video cameras are becoming more and more important to monitor plasma evolution during fusion experiments. Analyzing these images in real-time can provide relevant information for controlling the plasma and the safety of the machines. The realtime image processing capability of Cellular Nonlinear Network based chip has been applied to several tasks both at the Frascati Tokamak Upgrade and the Joint European Torus.
Keywords :
Tokamak devices; cellular neural nets; fusion reactor theory; image processing; physics computing; cellular neural network; cellular nonlinear network; plasma fusion; real time image analysis; Cameras; Cellular neural networks; Image analysis; Information analysis; Infrared surveillance; Monitoring; Plasma applications; Plasma materials processing; Safety; Tokamaks; Cellular nonlinear networks; hot spots; marfe; strike points; tokamaks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
Conference_Location :
Alcala de Henares
Print_ISBN :
978-1-4244-0830-6
Electronic_ISBN :
978-1-4244-0830-6
Type :
conf
DOI :
10.1109/WISP.2007.4447505
Filename :
4447505
Link To Document :
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