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: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/4731/1/BUILDING_CRACK_CHARACTERIZATION_USING_AN_HYBRID_APPROACH.pdf http://irep.iium.edu.my/4731/ |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | 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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