Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm
This paper describes an image-based methodology for the detection of structural cracks in concrete. The conventional approach based on line enhancement filtering has problems associated with an inaccurate extraction of edge pixels. We therefore propose an edge-based crack detection technique consist...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8491264/ |
| _version_ | 1818644827214970880 |
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| author | Hyunwoo Cho Hyuk-Jin Yoon Ju-Yeong Jung |
| author_facet | Hyunwoo Cho Hyuk-Jin Yoon Ju-Yeong Jung |
| author_sort | Hyunwoo Cho |
| collection | DOAJ |
| description | This paper describes an image-based methodology for the detection of structural cracks in concrete. The conventional approach based on line enhancement filtering has problems associated with an inaccurate extraction of edge pixels. We therefore propose an edge-based crack detection technique consisting of five steps: crack width transform, aspect ratio filtering, crack region search, hole filling, and relative thresholding. In the first step, crack width transform, opposing edges are identified and classified as crack candidate pixels, and a width map is generated. In the second step, aspect ratio filtering, the width map generated is used to remove noise. In the next two steps, the method searches for and restores missing pixels. In the last step, relative thresholding, residual noise is removed through reclassification of crack regions based on image-adaptive thresholding. The performance of this technique was tested using synthetic and real images. The results show that the proposed technique has greater accuracy and consistency in measuring crack width compared with the conventional technique. |
| first_indexed | 2024-12-17T00:21:02Z |
| format | Article |
| id | doaj.art-ad7dbbb9c4ae461892f4466639a571d8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T00:21:02Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ad7dbbb9c4ae461892f4466639a571d82022-12-21T22:10:34ZengIEEEIEEE Access2169-35362018-01-016601006011410.1109/ACCESS.2018.28758898491264Image-Based Crack Detection Using Crack Width Transform (CWT) AlgorithmHyunwoo Cho0https://orcid.org/0000-0002-5822-5865Hyuk-Jin Yoon1Ju-Yeong Jung2Department of Robotics and Virtual Engineering, Korea University of Science and Technology, Daejeon, South KoreaDepartment of Robotics and Virtual Engineering, Korea University of Science and Technology, Daejeon, South KoreaKorea Railroad Research Institute, Uiwang, South KoreaThis paper describes an image-based methodology for the detection of structural cracks in concrete. The conventional approach based on line enhancement filtering has problems associated with an inaccurate extraction of edge pixels. We therefore propose an edge-based crack detection technique consisting of five steps: crack width transform, aspect ratio filtering, crack region search, hole filling, and relative thresholding. In the first step, crack width transform, opposing edges are identified and classified as crack candidate pixels, and a width map is generated. In the second step, aspect ratio filtering, the width map generated is used to remove noise. In the next two steps, the method searches for and restores missing pixels. In the last step, relative thresholding, residual noise is removed through reclassification of crack regions based on image-adaptive thresholding. The performance of this technique was tested using synthetic and real images. The results show that the proposed technique has greater accuracy and consistency in measuring crack width compared with the conventional technique.https://ieeexplore.ieee.org/document/8491264/Crack detectioncrack width measurementedge-basedcrack width transformcrack region search |
| spellingShingle | Hyunwoo Cho Hyuk-Jin Yoon Ju-Yeong Jung Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm IEEE Access Crack detection crack width measurement edge-based crack width transform crack region search |
| title | Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm |
| title_full | Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm |
| title_fullStr | Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm |
| title_full_unstemmed | Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm |
| title_short | Image-Based Crack Detection Using Crack Width Transform (CWT) Algorithm |
| title_sort | image based crack detection using crack width transform cwt algorithm |
| topic | Crack detection crack width measurement edge-based crack width transform crack region search |
| url | https://ieeexplore.ieee.org/document/8491264/ |
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