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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...

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Detalles Bibliográficos
Autores principales: Golkar, Ehsan, Prabuwono, Anton Satria, Patel, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
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.
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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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