
Proceedings Paper
Image analysis for the identification of coherent structures in plasmaFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Turbulence at the edge of the plasma in a nuclear fusion reactor can cause loss of confinement of the plasma. In
an effort to study the edge turbulence, the National Spherical Torus Experiment uses a gas puff imaging (GPI)
diagnostic to capture images of the turbulence. A gas puff is injected into the torus and visible light emission
from the gas cloud is captured by an ultra high-speed camera. Our goal is to detect and track coherent structures
in the GPI images to improve our understanding of plasma edge turbulence. In this paper, we present results
from various segmentation methods for the identification of the coherent structures. We consider three categories
of methods - immersion-based, region-growing, and model-based - and empirically evaluate their performance on
four sample sequences. Our preliminary results indicate that while some methods can be sensitive to the settings
of parameters, others show promise in being able to detect the coherent structures.
Paper Details
Date Published: 24 September 2007
PDF: 12 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960D (24 September 2007); doi: 10.1117/12.732451
Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)
PDF: 12 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960D (24 September 2007); doi: 10.1117/12.732451
Show Author Affiliations
Nicole S. Love, Lawrence Livermore National Lab. (United States)
Chandrika Kamath, Lawrence Livermore National Lab. (United States)
Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)
© SPIE. Terms of Use
