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