A research on detecting and recognizing bridge cracks in complex underwater conditions
The method aims to recognize and extract the characteristic parameters of bridge cracks based on images of the cracks obtained through the application of preprocessing technologies, such as graying, graphical enhancements, spatial filtering, gray-level threshold segmentation, etc.. The approach ha...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2014-10-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | http://www.gruppofrattura.it/pdf/rivista/numero30/numero_30_art_64.pdf |
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| _version_ | 1832568720263741440 |
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| author | Wang Tao Du Tao Zou Xiaohong Sun Yiming |
| author_facet | Wang Tao Du Tao Zou Xiaohong Sun Yiming |
| author_sort | Wang Tao |
| collection | DOAJ |
| description | The method aims to recognize and extract the characteristic parameters of bridge cracks based on
images of the cracks obtained through the application of preprocessing technologies, such as graying, graphical
enhancements, spatial filtering, gray-level threshold segmentation, etc.. The approach has been tested for
accuracy to avoid the incorrect identification of chaff as a method error. The proposed method has proved to
be rather accurate and effective in extracting information on cracks from the bridge image tests. |
| format | Article |
| id | doaj-art-9440040d78124b2ea6001e4fd6ab82f8 |
| institution | Kabale University |
| issn | 1971-8993 1971-8993 |
| language | English |
| publishDate | 2014-10-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-9440040d78124b2ea6001e4fd6ab82f82025-02-03T00:45:57ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89931971-89932014-10-0183053754410.3221/IGF-ESIS.30.64A research on detecting and recognizing bridge cracks in complex underwater conditionsWang Tao0Du Tao1Zou Xiaohong2Sun Yiming3Institute of Highway, Chang’an University, Xi'an, 710064, ChinaInstitute of Highway, Chang’an University, Xi'an, 710064, ChinaInstitute of Highway, Chang’an University, Xi'an, 710064, ChinaInstitute of Highway, Chang’an University, Xi'an, 710064, ChinaThe method aims to recognize and extract the characteristic parameters of bridge cracks based on images of the cracks obtained through the application of preprocessing technologies, such as graying, graphical enhancements, spatial filtering, gray-level threshold segmentation, etc.. The approach has been tested for accuracy to avoid the incorrect identification of chaff as a method error. The proposed method has proved to be rather accurate and effective in extracting information on cracks from the bridge image tests.http://www.gruppofrattura.it/pdf/rivista/numero30/numero_30_art_64.pdfCrack detectionDigital processingImage analysis |
| spellingShingle | Wang Tao Du Tao Zou Xiaohong Sun Yiming A research on detecting and recognizing bridge cracks in complex underwater conditions Fracture and Structural Integrity Crack detection Digital processing Image analysis |
| title | A research on detecting and recognizing bridge cracks in complex underwater conditions |
| title_full | A research on detecting and recognizing bridge cracks in complex underwater conditions |
| title_fullStr | A research on detecting and recognizing bridge cracks in complex underwater conditions |
| title_full_unstemmed | A research on detecting and recognizing bridge cracks in complex underwater conditions |
| title_short | A research on detecting and recognizing bridge cracks in complex underwater conditions |
| title_sort | research on detecting and recognizing bridge cracks in complex underwater conditions |
| topic | Crack detection Digital processing Image analysis |
| url | http://www.gruppofrattura.it/pdf/rivista/numero30/numero_30_art_64.pdf |
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