Application and validation of image processing algorithms to reduce the stray light on the tj-ii thomson scattering diagnostic

GONZALO ALBERTO FARIAS CASTRO, Sebastián Dormido-Canto, Jesús Vega, Ignacio Pastor, Matilde Santos

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)20-25
Number of pages6
JournalFusion Science and Technology
Volume63
Issue number1
DOIs
StatePublished - 1 Jan 2013

Keywords

  • Image processing
  • Stray light
  • Thomson scattering diagnostic

Fingerprint Dive into the research topics of 'Application and validation of image processing algorithms to reduce the stray light on the tj-ii thomson scattering diagnostic'. Together they form a unique fingerprint.

Cite this