Paper
20 September 2024 Underwater 3D measurement using sheet of light systems for nuclear fuel assemblies
Chuncheng Feng, Congzheng Wang, Lingyi Zhang, Wanqi Gong, Lei Liu, Chang Feng
Author Affiliations +
Proceedings Volume 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024); 1326918 (2024) https://doi.org/10.1117/12.3045478
Event: Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
As the demand for high-precision underwater measurements of nuclear fuel assemblies (NFA) continues to rise, there is a concurrent improvement in underwater optical measurement technology. The sheet of light, an optical measurement technology based on a straightforward principle, has progressively emerged as a focal point of research. However, the process of conducting high-accuracy measurements underwater presents significant challenges due to the impact of scattering, refraction, and intense radiation. This paper presents the development of a reflective underwater sheet of light system. It proposes an enhanced refraction correction method, utilizing ray tracing. Additionally, it suggests an improved center extraction method for underwater laser lines, based on the grayscale center of gravity, to mitigate random speckle interference. The comprehensive experimental results demonstrate that the system achieves an underwater measurement accuracy of 0.2mm to 0.4mm at a distance of 850mm from the NFA. These measurements confirm the effectiveness of the underwater measurement system and provide a methodical verification for the safety assessment of NFA.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chuncheng Feng, Congzheng Wang, Lingyi Zhang, Wanqi Gong, Lei Liu, and Chang Feng "Underwater 3D measurement using sheet of light systems for nuclear fuel assemblies", Proc. SPIE 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 1326918 (20 September 2024); https://doi.org/10.1117/12.3045478
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KEYWORDS
Refraction

Cameras

Glasses

Reflection

3D metrology

Point clouds

Water

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