Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2019-06-18T00:06:44Z | - |
dc.date.available | 2019-06-18T00:06:44Z | - |
dc.date.issued | 2007-07 | - |
dc.identifier.citation | 대한전자공학회 2007년도 하계종합학술대회 논문집Ⅰ(통신/신호처리/산업전자), v. 30, No. 1, Page. 381 - 382 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06321263&language=ko_KR | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/106703 | - |
dc.description.abstract | In this paper, crack detection technique of concrete bridge is proposed robust against shadow and noise. Our technique consists of two steps. In the first step, crack candidate region is detected by preprocessing. Preprocessing techniques such as median filter, isolated point filter and morphological techniques, use utilized for detection of crack candidate regions. In the final step, crack is detected from crack candidate region by considering any connectivity between cracks. By experimental results, performance is improved 6.8% over the existing method. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 대한전자공학회 | en_US |
dc.title | 영상처리 기법을 이용한 콘크리트 교량의 균열 검출 | en_US |
dc.title.alternative | Crack Detection on Concrete Bridge by Image Processing Technique | en_US |
dc.type | Article | en_US |
dc.contributor.googleauthor | 김형진 | - |
dc.contributor.googleauthor | 이정호 | - |
dc.contributor.googleauthor | 문영식 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | ysmoon | - |
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