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Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials
The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456570/ https://www.ncbi.nlm.nih.gov/pubmed/28787839 http://dx.doi.org/10.3390/ma9010042 |
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author | Lee, Bang Yeon Kang, Su-Tae Yun, Hae-Bum Kim, Yun Yong |
author_facet | Lee, Bang Yeon Kang, Su-Tae Yun, Hae-Bum Kim, Yun Yong |
author_sort | Lee, Bang Yeon |
collection | PubMed |
description | The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced concrete. A series of tests on the accuracy of fiber detection and the estimation performance of fiber orientation was performed on artificial fiber images to assess the validity of the proposed technique. The validation test results showed that the proposed technique estimates the distribution of fiber orientation more accurately than the direct measurement of fiber orientation by image analysis. |
format | Online Article Text |
id | pubmed-5456570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54565702017-07-28 Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials Lee, Bang Yeon Kang, Su-Tae Yun, Hae-Bum Kim, Yun Yong Materials (Basel) Article The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution in the sectional image of fiber-reinforced concrete. A series of tests on the accuracy of fiber detection and the estimation performance of fiber orientation was performed on artificial fiber images to assess the validity of the proposed technique. The validation test results showed that the proposed technique estimates the distribution of fiber orientation more accurately than the direct measurement of fiber orientation by image analysis. MDPI 2016-01-12 /pmc/articles/PMC5456570/ /pubmed/28787839 http://dx.doi.org/10.3390/ma9010042 Text en © 2016 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Bang Yeon Kang, Su-Tae Yun, Hae-Bum Kim, Yun Yong Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials |
title | Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials |
title_full | Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials |
title_fullStr | Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials |
title_full_unstemmed | Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials |
title_short | Improved Sectional Image Analysis Technique for Evaluating Fiber Orientations in Fiber-Reinforced Cement-Based Materials |
title_sort | improved sectional image analysis technique for evaluating fiber orientations in fiber-reinforced cement-based materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456570/ https://www.ncbi.nlm.nih.gov/pubmed/28787839 http://dx.doi.org/10.3390/ma9010042 |
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