Automated image processing technique for detecting and analysing concrete surface cracks

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In the present work, an image processing technique that automatically detects and analyses cracks in the digital image of concrete surfaces is proposed. The image processing technique automates the measurement of crack characteristics including the width, length, orientation and crack pattern. In the proposed technique, a morphological technique was applied to correct the non-uniform brightness of the background, and enhanced binarisation and shape analysis were used to improve the detection performance; furthermore, detailed algorithms to calculate the crack width, length, orientation and an artificial neural network to recognise crack patterns including horizontal, vertical, diagonal (45 degrees), diagonal (+45 degrees), and random cracks are proposed. An image processing program was developed for the proposed algorithm and a series of experimental and analytical investigations were performed to assess the validity of the algorithm. Then, the crack characteristics measured using the proposed technique were compared with those obtained using a conventional technique. The test results showed that the crack characteristics can be accurately measured and analysed using the proposed technique.
Publisher
TAYLOR & FRANCIS LTD
Issue Date
2013-06
Language
English
Article Type
Article
Keywords

SYSTEM

Citation

STRUCTURE AND INFRASTRUCTURE ENGINEERING, v.9, no.6, pp.567 - 577

ISSN
1573-2479
DOI
10.1080/15732479.2011.593891
URI
http://hdl.handle.net/10203/174714
Appears in Collection
CE-Journal Papers(저널논문)
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