Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding
The detection of cracks is a crucial task in monitoring structural health and ensuring structural safety. The manual process of crack detection is painstakingly time-consuming and suffers from subjective judgments of inspectors. This study establishes an intelligent model based on image processing t...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/3924120 |
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| _version_ | 1832550001921753088 |
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| author | Nhat-Duc Hoang |
| author_facet | Nhat-Duc Hoang |
| author_sort | Nhat-Duc Hoang |
| collection | DOAJ |
| description | The detection of cracks is a crucial task in monitoring structural health and ensuring structural safety. The manual process of crack detection is painstakingly time-consuming and suffers from subjective judgments of inspectors. This study establishes an intelligent model based on image processing techniques for automatic crack recognition and analyses. In the new model, a gray intensity adjustment method, called Min-Max Gray Level Discrimination (M2GLD), is proposed to preprocess the image thresholded by the Otsu method. The goal of this gray intensity adjustment method is to meliorate the accuracy of the crack detection results. Experimental results point out that the integration of M2GLD and the Otsu method, followed by other shape analysis algorithms, can successfully detect crack defects in digital images. Therefore, the constructed model can be a useful tool for building management agencies and construction engineers in the task of structure maintenance. |
| format | Article |
| id | doaj-art-63c9eb35b43049a4a9c5ac9925e4ccc3 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-63c9eb35b43049a4a9c5ac9925e4ccc32025-02-03T06:08:01ZengWileyAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/39241203924120Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image ThresholdingNhat-Duc Hoang0Institute of Research and Development, Faculty of Civil Engineering, Duy Tan University, 03 Quang Trung, Da Nang 550000, VietnamThe detection of cracks is a crucial task in monitoring structural health and ensuring structural safety. The manual process of crack detection is painstakingly time-consuming and suffers from subjective judgments of inspectors. This study establishes an intelligent model based on image processing techniques for automatic crack recognition and analyses. In the new model, a gray intensity adjustment method, called Min-Max Gray Level Discrimination (M2GLD), is proposed to preprocess the image thresholded by the Otsu method. The goal of this gray intensity adjustment method is to meliorate the accuracy of the crack detection results. Experimental results point out that the integration of M2GLD and the Otsu method, followed by other shape analysis algorithms, can successfully detect crack defects in digital images. Therefore, the constructed model can be a useful tool for building management agencies and construction engineers in the task of structure maintenance.http://dx.doi.org/10.1155/2018/3924120 |
| spellingShingle | Nhat-Duc Hoang Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding Advances in Civil Engineering |
| title | Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding |
| title_full | Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding |
| title_fullStr | Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding |
| title_full_unstemmed | Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding |
| title_short | Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding |
| title_sort | detection of surface crack in building structures using image processing technique with an improved otsu method for image thresholding |
| url | http://dx.doi.org/10.1155/2018/3924120 |
| work_keys_str_mv | AT nhatduchoang detectionofsurfacecrackinbuildingstructuresusingimageprocessingtechniquewithanimprovedotsumethodforimagethresholding |