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dc.contributor.author문영식-
dc.date.accessioned2019-06-18T00:06:44Z-
dc.date.available2019-06-18T00:06:44Z-
dc.date.issued2007-07-
dc.identifier.citation대한전자공학회 2007년도 하계종합학술대회 논문집Ⅰ(통신/신호처리/산업전자), v. 30, No. 1, Page. 381 - 382en_US
dc.identifier.urihttp://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06321263&language=ko_KR-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/106703-
dc.description.abstractIn 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.isoko_KRen_US
dc.publisher대한전자공학회en_US
dc.title영상처리 기법을 이용한 콘크리트 교량의 균열 검출en_US
dc.title.alternativeCrack Detection on Concrete Bridge by Image Processing Techniqueen_US
dc.typeArticleen_US
dc.contributor.googleauthor김형진-
dc.contributor.googleauthor이정호-
dc.contributor.googleauthor문영식-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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