Fractals and Independent Component Analysis for Defect Detection in Bridge Decks

We present in this paper a framework for the automatic detection and localization of defects inside bridge decks. Using Ground-Penetrating Radar (GPR) raw scans, this framework is composed of a feature extraction algorithm using fractals to detect defective regions and a deconvolution algorithm usin...

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Main Authors: Ikhlas Abdel-Qader, Fadi Abu-Amara, Osama Abudayyeh
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2011/506464
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author Ikhlas Abdel-Qader
Fadi Abu-Amara
Osama Abudayyeh
author_facet Ikhlas Abdel-Qader
Fadi Abu-Amara
Osama Abudayyeh
author_sort Ikhlas Abdel-Qader
collection DOAJ
description We present in this paper a framework for the automatic detection and localization of defects inside bridge decks. Using Ground-Penetrating Radar (GPR) raw scans, this framework is composed of a feature extraction algorithm using fractals to detect defective regions and a deconvolution algorithm using banded-independent component analysis (ICA) to reduce overlapping between reflections and to estimate the radar waves travel time and depth of defects. Results indicate that the defects' estimated horizontal location and depth falling within 2 cm (76.92% accuracy) and 1 cm (84.62% accuracy) from their actual values.
format Article
id doaj-art-a4160de64cb848878b362669a67b5334
institution Kabale University
issn 1687-8086
1687-8094
language English
publishDate 2011-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-a4160de64cb848878b362669a67b53342025-08-20T03:38:24ZengWileyAdvances in Civil Engineering1687-80861687-80942011-01-01201110.1155/2011/506464506464Fractals and Independent Component Analysis for Defect Detection in Bridge DecksIkhlas Abdel-Qader0Fadi Abu-Amara1Osama Abudayyeh2Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI 49008, USADepartment of Computer Engineering, Al-Hussein Bin Talal University, Ma'an 71111, JordanDepartment of Civil and Construction Engineering, Western Michigan University, Kalamazoo, MI 49008, USAWe present in this paper a framework for the automatic detection and localization of defects inside bridge decks. Using Ground-Penetrating Radar (GPR) raw scans, this framework is composed of a feature extraction algorithm using fractals to detect defective regions and a deconvolution algorithm using banded-independent component analysis (ICA) to reduce overlapping between reflections and to estimate the radar waves travel time and depth of defects. Results indicate that the defects' estimated horizontal location and depth falling within 2 cm (76.92% accuracy) and 1 cm (84.62% accuracy) from their actual values.http://dx.doi.org/10.1155/2011/506464
spellingShingle Ikhlas Abdel-Qader
Fadi Abu-Amara
Osama Abudayyeh
Fractals and Independent Component Analysis for Defect Detection in Bridge Decks
Advances in Civil Engineering
title Fractals and Independent Component Analysis for Defect Detection in Bridge Decks
title_full Fractals and Independent Component Analysis for Defect Detection in Bridge Decks
title_fullStr Fractals and Independent Component Analysis for Defect Detection in Bridge Decks
title_full_unstemmed Fractals and Independent Component Analysis for Defect Detection in Bridge Decks
title_short Fractals and Independent Component Analysis for Defect Detection in Bridge Decks
title_sort fractals and independent component analysis for defect detection in bridge decks
url http://dx.doi.org/10.1155/2011/506464
work_keys_str_mv AT ikhlasabdelqader fractalsandindependentcomponentanalysisfordefectdetectioninbridgedecks
AT fadiabuamara fractalsandindependentcomponentanalysisfordefectdetectioninbridgedecks
AT osamaabudayyeh fractalsandindependentcomponentanalysisfordefectdetectioninbridgedecks