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Application and Validation of Image Processing Algorithms to Reduce the Stray Light on the TJ-II Thomson Scattering Diagnostic

Gonzalo Farias, Sebastián Dormido-Canto, Jesús Vega, Ignacio Pastor, Matilde Santos

Fusion Science and Technology / Volume 63 / Number 1 / January 2013 / Pages 20-25

Selected Paper from Seventh Fusion Data Validation Workshop 2012 (Part 3)

Stray light is the main source of noise on the Thomson scattering diagnostic images of the TJ-II stellarator. The diagnostic provides temperature and density profiles of the plasma. A charge-coupled-device camera acquires images that are disturbed by noise, which, in some cases, can produce unreliable profiles. In this paper we describe three different approaches to reduce or mitigate the stray light on these images: exhaustive detection, extraction of regions with connected components, and extraction of regions with the approach of region growing. The performance of the two most interesting techniques is evaluated by a validation process. This process quantifies the noise eliminated by each method.

 
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