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 has...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2014-09-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/1332 |
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| _version_ | 1841562794399367168 |
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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-ae3a47cc5e984114a98bf13dea429465 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2014-09-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-ae3a47cc5e984114a98bf13dea4294652025-01-03T00:40:25ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932014-09-01830A research on detecting and recognizing bridge cracks in complex underwater conditionsWang TaoDu TaoZou XiaohongSun YimingThe 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.https://www.fracturae.com/index.php/fis/article/view/1332Digital processing |
| 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 Digital processing |
| 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 | Digital processing |
| url | https://www.fracturae.com/index.php/fis/article/view/1332 |
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