Automated image processing technique for detecting and analysing concrete surface cracks

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dc.contributor.authorLee, Bang Yeonko
dc.contributor.authorKim, Yun Yongko
dc.contributor.authorYi, Seong-Taeko
dc.contributor.authorKim, Jin-Keunko
dc.date.accessioned2013-08-08T05:59:44Z-
dc.date.available2013-08-08T05:59:44Z-
dc.date.created2013-03-25-
dc.date.created2013-03-25-
dc.date.issued2013-06-
dc.identifier.citationSTRUCTURE AND INFRASTRUCTURE ENGINEERING, v.9, no.6, pp.567 - 577-
dc.identifier.issn1573-2479-
dc.identifier.urihttp://hdl.handle.net/10203/174714-
dc.description.abstractIn 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.-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS LTD-
dc.subjectSYSTEM-
dc.titleAutomated image processing technique for detecting and analysing concrete surface cracks-
dc.typeArticle-
dc.identifier.wosid000314912900005-
dc.identifier.scopusid2-s2.0-84874135432-
dc.type.rimsART-
dc.citation.volume9-
dc.citation.issue6-
dc.citation.beginningpage567-
dc.citation.endingpage577-
dc.citation.publicationnameSTRUCTURE AND INFRASTRUCTURE ENGINEERING-
dc.identifier.doi10.1080/15732479.2011.593891-
dc.contributor.localauthorKim, Jin-Keun-
dc.contributor.nonIdAuthorLee, Bang Yeon-
dc.contributor.nonIdAuthorKim, Yun Yong-
dc.contributor.nonIdAuthorYi, Seong-Tae-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorconcrete crack-
dc.subject.keywordAuthorcrack detection-
dc.subject.keywordAuthorcrack analysis-
dc.subject.keywordAuthorcrack characteristics-
dc.subject.keywordPlusSYSTEM-
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CE-Journal Papers(저널논문)
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