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Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique
Visual inspections of nuclear power plant (NPP) reactors are important for understanding current NPP conditions. Unfortunately, the existing visual inspection methods only provide limited two-dimensional (2D) information due to a loss of depth information, which can lead to errors identifying defect...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891744/ https://www.ncbi.nlm.nih.gov/pubmed/31739622 http://dx.doi.org/10.3390/s19224970 |
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author | Huang, Sanao Xu, Ke Li, Ming Wu, Mingren |
author_facet | Huang, Sanao Xu, Ke Li, Ming Wu, Mingren |
author_sort | Huang, Sanao |
collection | PubMed |
description | Visual inspections of nuclear power plant (NPP) reactors are important for understanding current NPP conditions. Unfortunately, the existing visual inspection methods only provide limited two-dimensional (2D) information due to a loss of depth information, which can lead to errors identifying defects. However, the high cost of developing new equipment can be avoided by using advanced data processing technology with existing equipment. In this study, a three-dimensional (3D) photometric stereo (PS) reconstruction technique is introduced to recover the lost depth information in NPP images. The system uses conventional inspection equipment, equipped with a camera and four light-emitting diodes (LEDs). The 3D data of the object surface are obtained by capturing images under multiple light sources oriented in different directions. The proposed method estimates the light directions and intensities for various image pixels in order to reduce the limitation of light calibration, which results in improved performance. This novel technique is employed to test specimens with various defects under laboratory conditions, revealing promising results. This study provides a new visual inspection method for NPP reactors. |
format | Online Article Text |
id | pubmed-6891744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68917442019-12-12 Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique Huang, Sanao Xu, Ke Li, Ming Wu, Mingren Sensors (Basel) Article Visual inspections of nuclear power plant (NPP) reactors are important for understanding current NPP conditions. Unfortunately, the existing visual inspection methods only provide limited two-dimensional (2D) information due to a loss of depth information, which can lead to errors identifying defects. However, the high cost of developing new equipment can be avoided by using advanced data processing technology with existing equipment. In this study, a three-dimensional (3D) photometric stereo (PS) reconstruction technique is introduced to recover the lost depth information in NPP images. The system uses conventional inspection equipment, equipped with a camera and four light-emitting diodes (LEDs). The 3D data of the object surface are obtained by capturing images under multiple light sources oriented in different directions. The proposed method estimates the light directions and intensities for various image pixels in order to reduce the limitation of light calibration, which results in improved performance. This novel technique is employed to test specimens with various defects under laboratory conditions, revealing promising results. This study provides a new visual inspection method for NPP reactors. MDPI 2019-11-14 /pmc/articles/PMC6891744/ /pubmed/31739622 http://dx.doi.org/10.3390/s19224970 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Sanao Xu, Ke Li, Ming Wu, Mingren Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique |
title | Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique |
title_full | Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique |
title_fullStr | Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique |
title_full_unstemmed | Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique |
title_short | Improved Visual Inspection through 3D Image Reconstruction of Defects Based on the Photometric Stereo Technique |
title_sort | improved visual inspection through 3d image reconstruction of defects based on the photometric stereo technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891744/ https://www.ncbi.nlm.nih.gov/pubmed/31739622 http://dx.doi.org/10.3390/s19224970 |
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