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dc.contributor.author문영식-
dc.date.accessioned2019-05-17T01:40:32Z-
dc.date.available2019-05-17T01:40:32Z-
dc.date.issued2008-05-
dc.identifier.citation2008 Congress on Image and Signal Processing, Page. 363-366en_US
dc.identifier.isbn978-0-7695-3119-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4566507-
dc.identifier.urihttp://repository.hanyang.ac.kr/handle/20.500.11754/104514-
dc.description.abstractIn the bridge inspection, the information of cracks is important to maintain a bridge. Therefore, automatic crack detection is highly desirable for efficiency and objectivity of crack assessment. However, in general, it is very difficult to detect cracks automatically from noisy concrete surfaces. In this paper, we propose a machine vision system for automatic inspection of bridges. The proposed machine vision system can detect cracks in real time, and it has some utility functions for supervised manipulation. The performance of the proposed system has been evaluated with 100 noisy images. In terms of accuracy in detecting cracks, experimental results show that the proposed method is superior to the conventional methods for detecting cracks.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectMachine Visionen_US
dc.subjectAutomatic Inspectionen_US
dc.subjectCrack Detectionen_US
dc.titleMachine Vision System for Automatic Inspection of Bridgesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/CISP.2008.672-
dc.contributor.googleauthorLee, Jeong Ho-
dc.contributor.googleauthorLee, Jong Min-
dc.contributor.googleauthorKim, Hyung Jin-
dc.contributor.googleauthorMoon, Young Shik-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
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COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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