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Cho, Soojin
Smart Infrastructure and Systems Laboratory
Research Interests
  • civil engineering
  • wireless sensor
  • system identification
  • modal analysis

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Automated assessment of cracks on concrete surfaces using adaptive digital image processing

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dc.contributor.author Liu, Yufei ko
dc.contributor.author Cho, Soojin ko
dc.contributor.author Spencer, Billie F. ko
dc.contributor.author Fan, Jiansheng ko
dc.date.available 2014-11-12T00:42:51Z -
dc.date.created 2014-11-11 ko
dc.date.issued 2014-10 ko
dc.identifier.citation SMART STRUCTURES AND SYSTEMS, v.14, no.4, pp.719 - 741 ko
dc.identifier.issn 1738-1584 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/8600 -
dc.description.abstract Monitoring surface cracks is important to ensure the health of concrete structures. However, traditional visual inspection to monitor the concrete cracks has disadvantages such as subjective inspection nature, associated time and cost, and possible danger to inspectors. To alter the visual inspection, a complete procedure for automated crack assessment based on adaptive digital image processing has been proposed in this study. Crack objects are extracted from the images using the subtraction with median filter and the local binarization using the Niblack's method. To adaptively determine the optimal window sizes for the median filter and the Niblack's method without distortion of crack object, an optimal filter size index (OFSI) is proposed. From the extracted crack objects using the optimal size of window, the crack objects are decomposed to the crack skeletons and edges, and the crack width is calculated using 4-connected normal line according to the orientation of the local skeleton line. For an image, a crack width nephogram is obtained to have an intuitive view of the crack distribution. The proposed procedure is verified from a test on a concrete reaction wall with various types of cracks. From the crack images with different crack widths and patterns, the widths of cracks in the order of submillimeters are calculated with high accuracy. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher TECHNO-PRESS ko
dc.title Automated assessment of cracks on concrete surfaces using adaptive digital image processing ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84908090088 ko
dc.identifier.wosid 000344575800012 ko
dc.type.rims ART ko
dc.description.wostc 1 *
dc.description.scopustc 0 *
dc.date.tcdate 2015-05-06 *
dc.date.scptcdate 2014-11-11 *
dc.identifier.doi 10.12989/sss.2014.14.4.719 ko
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84908090088 ko
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