Image processing methods for noise reduction in the TJ-II Thomson Scattering diagnostic

S. Dormido-Canto; G. Farias; J. Vega; I. Pastor

doi:10.1016/j.fusengdes.2012.04.004

Image processing methods for noise reduction in the TJ-II Thomson Scattering diagnostic

S. Dormido-Canto, G. Farias, J. Vega, I. Pastor

SCHOOL OF ELECTRICAL ENGINEERING

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The Thomsom Scattering diagnostic of the TJ-II stellarator provides temperature and density profiles. The CCD camera acquires images corrupted with noise that, in some cases, can produce unreliable profiles. The main source of noise is the so-called stray-light. In this paper we describe an approach that allows mitigation of the effects that stray-light has on the images: extraction regions with connected-components. In addition, the robustness and effectiveness of the noise reduction technique is validated in two ways: (1) supervised classification and (2) comparison of electron temperature profiles.

Original language	English
Pages (from-to)	2170-2173
Number of pages	4
Journal	Fusion Engineering and Design
Volume	87
Issue number	12
DOIs	https://doi.org/10.1016/j.fusengdes.2012.04.004
State	Published - Dec 2012

Keywords

Image processing
Segmentation
Thomson Scattering

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10.1016/j.fusengdes.2012.04.004

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title = "Image processing methods for noise reduction in the TJ-II Thomson Scattering diagnostic",

abstract = "The Thomsom Scattering diagnostic of the TJ-II stellarator provides temperature and density profiles. The CCD camera acquires images corrupted with noise that, in some cases, can produce unreliable profiles. The main source of noise is the so-called stray-light. In this paper we describe an approach that allows mitigation of the effects that stray-light has on the images: extraction regions with connected-components. In addition, the robustness and effectiveness of the noise reduction technique is validated in two ways: (1) supervised classification and (2) comparison of electron temperature profiles.",

keywords = "Image processing, Segmentation, Thomson Scattering",

author = "S. Dormido-Canto and G. Farias and J. Vega and I. Pastor",

note = "Funding Information: This work was partially funded by the Spanish Ministry of Science and Innovation under the Project No. ENE2008-02894/FTN .",

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doi = "10.1016/j.fusengdes.2012.04.004",

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AU - Dormido-Canto, S.

AU - Farias, G.

AU - Vega, J.

AU - Pastor, I.

N1 - Funding Information: This work was partially funded by the Spanish Ministry of Science and Innovation under the Project No. ENE2008-02894/FTN .

PY - 2012/12

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N2 - The Thomsom Scattering diagnostic of the TJ-II stellarator provides temperature and density profiles. The CCD camera acquires images corrupted with noise that, in some cases, can produce unreliable profiles. The main source of noise is the so-called stray-light. In this paper we describe an approach that allows mitigation of the effects that stray-light has on the images: extraction regions with connected-components. In addition, the robustness and effectiveness of the noise reduction technique is validated in two ways: (1) supervised classification and (2) comparison of electron temperature profiles.

AB - The Thomsom Scattering diagnostic of the TJ-II stellarator provides temperature and density profiles. The CCD camera acquires images corrupted with noise that, in some cases, can produce unreliable profiles. The main source of noise is the so-called stray-light. In this paper we describe an approach that allows mitigation of the effects that stray-light has on the images: extraction regions with connected-components. In addition, the robustness and effectiveness of the noise reduction technique is validated in two ways: (1) supervised classification and (2) comparison of electron temperature profiles.

KW - Image processing

KW - Segmentation

KW - Thomson Scattering

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SN - 0920-3796

VL - 87

SP - 2170

EP - 2173

JO - Fusion Engineering and Design

JF - Fusion Engineering and Design

IS - 12

ER -

Image processing methods for noise reduction in the TJ-II Thomson Scattering diagnostic

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Keywords

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