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A Sensor System for Detection of Hull Surface Defects
This paper presents a sensor system for detecting defects in ship hull surfaces. The sensor was developed to enable a robotic system to perform grit blasting operations on ship hulls. To achieve this, the proposed sensor system captures images with the help of a camera and processes them in real tim...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231190/ https://www.ncbi.nlm.nih.gov/pubmed/22163590 http://dx.doi.org/10.3390/s100807067 |
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author | Navarro, Pedro Iborra, Andrés Fernández, Carlos Sánchez, Pedro Suardíaz, Juan |
author_facet | Navarro, Pedro Iborra, Andrés Fernández, Carlos Sánchez, Pedro Suardíaz, Juan |
author_sort | Navarro, Pedro |
collection | PubMed |
description | This paper presents a sensor system for detecting defects in ship hull surfaces. The sensor was developed to enable a robotic system to perform grit blasting operations on ship hulls. To achieve this, the proposed sensor system captures images with the help of a camera and processes them in real time using a new defect detection method based on thresholding techniques. What makes this method different is its efficiency in the automatic detection of defects from images recorded in variable lighting conditions. The sensor system was tested under real conditions at a Spanish shipyard, with excellent results. |
format | Online Article Text |
id | pubmed-3231190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32311902011-12-07 A Sensor System for Detection of Hull Surface Defects Navarro, Pedro Iborra, Andrés Fernández, Carlos Sánchez, Pedro Suardíaz, Juan Sensors (Basel) Article This paper presents a sensor system for detecting defects in ship hull surfaces. The sensor was developed to enable a robotic system to perform grit blasting operations on ship hulls. To achieve this, the proposed sensor system captures images with the help of a camera and processes them in real time using a new defect detection method based on thresholding techniques. What makes this method different is its efficiency in the automatic detection of defects from images recorded in variable lighting conditions. The sensor system was tested under real conditions at a Spanish shipyard, with excellent results. Molecular Diversity Preservation International (MDPI) 2010-07-26 /pmc/articles/PMC3231190/ /pubmed/22163590 http://dx.doi.org/10.3390/s100807067 Text en © 2010 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Navarro, Pedro Iborra, Andrés Fernández, Carlos Sánchez, Pedro Suardíaz, Juan A Sensor System for Detection of Hull Surface Defects |
title | A Sensor System for Detection of Hull Surface Defects |
title_full | A Sensor System for Detection of Hull Surface Defects |
title_fullStr | A Sensor System for Detection of Hull Surface Defects |
title_full_unstemmed | A Sensor System for Detection of Hull Surface Defects |
title_short | A Sensor System for Detection of Hull Surface Defects |
title_sort | sensor system for detection of hull surface defects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231190/ https://www.ncbi.nlm.nih.gov/pubmed/22163590 http://dx.doi.org/10.3390/s100807067 |
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