Machine Vision System for Automatic Inspection of Bridges
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jeong ho | - |
dc.contributor.author | Lee, Jong min | - |
dc.contributor.author | Kim, Hyung jin | - |
dc.contributor.author | Moon, Young Shik | - |
dc.date.accessioned | 2021-06-23T17:40:14Z | - |
dc.date.available | 2021-06-23T17:40:14Z | - |
dc.date.created | 2021-02-18 | - |
dc.date.issued | 2008-05 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/42487 | - |
dc.description.abstract | In 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Machine Vision System for Automatic Inspection of Bridges | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Moon, Young Shik | - |
dc.identifier.doi | 10.1109/CISP.2008.672 | - |
dc.identifier.scopusid | 2-s2.0-52149089878 | - |
dc.identifier.bibliographicCitation | The 2008 International Congress on Image and Signal Processing, pp.363 - 366 | - |
dc.relation.isPartOf | The 2008 International Congress on Image and Signal Processing | - |
dc.citation.title | The 2008 International Congress on Image and Signal Processing | - |
dc.citation.startPage | 363 | - |
dc.citation.endPage | 366 | - |
dc.type.rims | ART | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | Machine Vision | - |
dc.subject.keywordAuthor | Automatic Inspection | - |
dc.subject.keywordAuthor | Crack Detection | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/4566507 | - |
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