Building crack characterization using an hybrid approach

Crack can easily be seen on many buildings and along major roads in developing and developed countries. These cracks come in various shapes, sizes and orientation. The main objective of this work is to apply digital signal and image processing techniques to crack detection and analysis so as to...

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Main Authors: Salami, Abdulazeez F., Aibinu, Abiodun Musa, Shafie, Amir Akramin, Salami, Momoh Jimoh Emiyoka, Bamgbopa, Ibrahim A., Lawal, Wahab Adetunji
Format: Proceeding Paper
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/4731/1/BUILDING_CRACK_CHARACTERIZATION_USING_AN_HYBRID_APPROACH.pdf
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author Salami, Abdulazeez F.
Aibinu, Abiodun Musa
Shafie, Amir Akramin
Salami, Momoh Jimoh Emiyoka
Bamgbopa, Ibrahim A.
Lawal, Wahab Adetunji
author_facet Salami, Abdulazeez F.
Aibinu, Abiodun Musa
Shafie, Amir Akramin
Salami, Momoh Jimoh Emiyoka
Bamgbopa, Ibrahim A.
Lawal, Wahab Adetunji
author_sort Salami, Abdulazeez F.
collection IIUM
description Crack can easily be seen on many buildings and along major roads in developing and developed countries. These cracks come in various shapes, sizes and orientation. The main objective of this work is to apply digital signal and image processing techniques to crack detection and analysis so as to establish a grading system for building and road cracks automation system. An hybrid technique using Neural network and Image analysis in determining the size, width, length, orientation and dimension of crack is hereby proposed. Preliminary result obtained shows that this technique will solve the problem of manual screening and analysis of cracks on roads and buildings, hence an improvement in the efficiency of this task and a good step in automation of the process.
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spelling oai:generic.eprints.org:47312011-11-21T05:34:20Z http://irep.iium.edu.my/4731/ Building crack characterization using an hybrid approach Salami, Abdulazeez F. Aibinu, Abiodun Musa Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Bamgbopa, Ibrahim A. Lawal, Wahab Adetunji T Technology (General) Crack can easily be seen on many buildings and along major roads in developing and developed countries. These cracks come in various shapes, sizes and orientation. The main objective of this work is to apply digital signal and image processing techniques to crack detection and analysis so as to establish a grading system for building and road cracks automation system. An hybrid technique using Neural network and Image analysis in determining the size, width, length, orientation and dimension of crack is hereby proposed. Preliminary result obtained shows that this technique will solve the problem of manual screening and analysis of cracks on roads and buildings, hence an improvement in the efficiency of this task and a good step in automation of the process. 2009 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/4731/1/BUILDING_CRACK_CHARACTERIZATION_USING_AN_HYBRID_APPROACH.pdf Salami, Abdulazeez F. and Aibinu, Abiodun Musa and Shafie, Amir Akramin and Salami, Momoh Jimoh Emiyoka and Bamgbopa, Ibrahim A. and Lawal, Wahab Adetunji (2009) Building crack characterization using an hybrid approach. In: Third International conference on Modeling, Simulation and Applied Optimization ICMSAO, 20-22 January 2009, Sharjah, U.A.E.
spellingShingle T Technology (General)
Salami, Abdulazeez F.
Aibinu, Abiodun Musa
Shafie, Amir Akramin
Salami, Momoh Jimoh Emiyoka
Bamgbopa, Ibrahim A.
Lawal, Wahab Adetunji
Building crack characterization using an hybrid approach
title Building crack characterization using an hybrid approach
title_full Building crack characterization using an hybrid approach
title_fullStr Building crack characterization using an hybrid approach
title_full_unstemmed Building crack characterization using an hybrid approach
title_short Building crack characterization using an hybrid approach
title_sort building crack characterization using an hybrid approach
topic T Technology (General)
url http://irep.iium.edu.my/4731/1/BUILDING_CRACK_CHARACTERIZATION_USING_AN_HYBRID_APPROACH.pdf
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