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Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation
This paper presents a novel, real-time defect detection system, based on a best-fit polynomial interpolation, that inspects the conditions of outer surfaces. The defect detection system is an enhanced feature extraction method that employs this technique to inspect the flatness, waviness, blob, and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522939/ https://www.ncbi.nlm.nih.gov/pubmed/23202186 http://dx.doi.org/10.3390/s121114774 |
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author | Golkar, Ehsan Prabuwono, Anton Satria Patel, Ahmed |
author_facet | Golkar, Ehsan Prabuwono, Anton Satria Patel, Ahmed |
author_sort | Golkar, Ehsan |
collection | PubMed |
description | This paper presents a novel, real-time defect detection system, based on a best-fit polynomial interpolation, that inspects the conditions of outer surfaces. The defect detection system is an enhanced feature extraction method that employs this technique to inspect the flatness, waviness, blob, and curvature faults of these surfaces. The proposed method has been performed, tested, and validated on numerous pipes and ceramic tiles. The results illustrate that the physical defects such as abnormal, popped-up blobs are recognized completely, and that flames, waviness, and curvature faults are detected simultaneously. |
format | Online Article Text |
id | pubmed-3522939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-35229392013-01-09 Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation Golkar, Ehsan Prabuwono, Anton Satria Patel, Ahmed Sensors (Basel) Article This paper presents a novel, real-time defect detection system, based on a best-fit polynomial interpolation, that inspects the conditions of outer surfaces. The defect detection system is an enhanced feature extraction method that employs this technique to inspect the flatness, waviness, blob, and curvature faults of these surfaces. The proposed method has been performed, tested, and validated on numerous pipes and ceramic tiles. The results illustrate that the physical defects such as abnormal, popped-up blobs are recognized completely, and that flames, waviness, and curvature faults are detected simultaneously. Molecular Diversity Preservation International (MDPI) 2012-11-02 /pmc/articles/PMC3522939/ /pubmed/23202186 http://dx.doi.org/10.3390/s121114774 Text en © 2012 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 Golkar, Ehsan Prabuwono, Anton Satria Patel, Ahmed Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation |
title | Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation |
title_full | Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation |
title_fullStr | Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation |
title_full_unstemmed | Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation |
title_short | Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation |
title_sort | real-time curvature defect detection on outer surfaces using best-fit polynomial interpolation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522939/ https://www.ncbi.nlm.nih.gov/pubmed/23202186 http://dx.doi.org/10.3390/s121114774 |
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