DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김진근 | - |
dc.contributor.author | 이방연 | - |
dc.contributor.author | 김윤용 | - |
dc.contributor.author | 박석균 | - |
dc.date.accessioned | 2013-03-18T22:29:52Z | - |
dc.date.available | 2013-03-18T22:29:52Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2004-05 | - |
dc.identifier.citation | 2004 한국콘크리트학회 봄 학술대회, v., no., pp. - | - |
dc.identifier.uri | http://hdl.handle.net/10203/153076 | - |
dc.description.abstract | This study proposes an algorithm for recognition of crack patterns, which includes horizontal, vertical, diagonal$(-45^{\circ})$, diagonal$(+45^{\circ})$, and random cracks, based on image processing technique and artificial neural network. A MATLAB code was developed for the proposed algorithm, and then numerical tests were performed on thirty-eight crack images to examine validity of the algorithm. Within the limited tests in the present study, the proposed algorithm was revealed as accurately recognizing the crack patterns when compared to those classified by a human expert. | - |
dc.language | KOR | - |
dc.publisher | 한국콘크리트학회 | - |
dc.title | 균열 패턴인식 알고리즘 개발 | - |
dc.title.alternative | Development of an algorithm for crack pattern recognition | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2004 한국콘크리트학회 봄 학술대회 | - |
dc.identifier.conferencecountry | South Korea | - |
dc.identifier.conferencecountry | South Korea | - |
dc.contributor.localauthor | 김진근 | - |
dc.contributor.nonIdAuthor | 이방연 | - |
dc.contributor.nonIdAuthor | 김윤용 | - |
dc.contributor.nonIdAuthor | 박석균 | - |
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