IEICE TRANSACTIONS on Information
Real-Time Color Image Improvement System for Visual Testing of Nuclear Reactors
Summary :
Nuclear power plants require in-vessel inspections for soundness checks and preventive maintenance. One inspection procedure is visual testing (VT), which is based on video images of an underwater camera in a nuclear reactor. However, a lot of noise is superimposed on VT images due to radiation exposure. We propose a technique for improving the quality of those images by image processing that reduces radiation noise and enhances signals. Real-time video processing was achieved by applying the proposed technique with a parallel processing unit. Improving the clarity of VT images will lead to reducing the burden on inspectors.
- Publication
- IEICE TRANSACTIONS on Information Vol.E101-D No.5 pp.1243-1250
- Publication Date
- 2018/05/01
- Publicized
- 2018/02/16
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2017MVP0007
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision and its Applications)
- Category
- Machine Vision and its Applications
Authors
Naoki HOSOYA
Hitachi Ltd.
Atsushi MIYAMOTO
Hitachi Ltd.
Junichiro NAGANUMA
Hitachi-GE Nuclear Energy Ltd.
Keyword
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Naoki HOSOYA, Atsushi MIYAMOTO, Junichiro NAGANUMA, "Real-Time Color Image Improvement System for Visual Testing of Nuclear Reactors" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 5, pp. 1243-1250, May 2018, doi: 10.1587/transinf.2017MVP0007.
Abstract: Nuclear power plants require in-vessel inspections for soundness checks and preventive maintenance. One inspection procedure is visual testing (VT), which is based on video images of an underwater camera in a nuclear reactor. However, a lot of noise is superimposed on VT images due to radiation exposure. We propose a technique for improving the quality of those images by image processing that reduces radiation noise and enhances signals. Real-time video processing was achieved by applying the proposed technique with a parallel processing unit. Improving the clarity of VT images will lead to reducing the burden on inspectors.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017MVP0007/_p
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@ARTICLE{e101-d_5_1243,
author={Naoki HOSOYA, Atsushi MIYAMOTO, Junichiro NAGANUMA, },
journal={IEICE TRANSACTIONS on Information},
title={Real-Time Color Image Improvement System for Visual Testing of Nuclear Reactors},
year={2018},
volume={E101-D},
number={5},
pages={1243-1250},
abstract={Nuclear power plants require in-vessel inspections for soundness checks and preventive maintenance. One inspection procedure is visual testing (VT), which is based on video images of an underwater camera in a nuclear reactor. However, a lot of noise is superimposed on VT images due to radiation exposure. We propose a technique for improving the quality of those images by image processing that reduces radiation noise and enhances signals. Real-time video processing was achieved by applying the proposed technique with a parallel processing unit. Improving the clarity of VT images will lead to reducing the burden on inspectors.},
keywords={},
doi={10.1587/transinf.2017MVP0007},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Real-Time Color Image Improvement System for Visual Testing of Nuclear Reactors
T2 - IEICE TRANSACTIONS on Information
SP - 1243
EP - 1250
AU - Naoki HOSOYA
AU - Atsushi MIYAMOTO
AU - Junichiro NAGANUMA
PY - 2018
DO - 10.1587/transinf.2017MVP0007
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2018
AB - Nuclear power plants require in-vessel inspections for soundness checks and preventive maintenance. One inspection procedure is visual testing (VT), which is based on video images of an underwater camera in a nuclear reactor. However, a lot of noise is superimposed on VT images due to radiation exposure. We propose a technique for improving the quality of those images by image processing that reduces radiation noise and enhances signals. Real-time video processing was achieved by applying the proposed technique with a parallel processing unit. Improving the clarity of VT images will lead to reducing the burden on inspectors.
ER -
English
