Application of cellular neural network methods to real time image analysis in plasma fusion

G. Vagliasindib, A. Muraria, P. Arenab, L. Fortunab, G. Mazzitellic

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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 real-time image processing capability of Cellular Nonlinear Network based chip has been applied to several tasks both at the Frascati Tokamak Upgrade andl the Joint European Torus. ©2007 IEEE.
Original languageEnglish
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Symposium on Intelligent Signal Processing, WISP - , Spain
Duration: 1 Jan 2007 → …

Conference

Conference2007 IEEE International Symposium on Intelligent Signal Processing, WISP
CountrySpain
Period1/1/07 → …

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Signal Processing

Cite this

Vagliasindib, G., Muraria, A., Arenab, P., Fortunab, L., & Mazzitellic, G. (2007). Application of cellular neural network methods to real time image analysis in plasma fusion. Paper presented at 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, Spain. https://doi.org/10.1109/WISP.2007.4447505