Performance analysis of various types of surface crack detection based on image processing
Major cracks on a highway or bridge's concrete surface have a massive risk of damages, accompanied by less maintenance, slow detection, and handling; the worst case of the damage is the structure's total collapse, which can produce fatalities. Moreover, Indonesia's climate and geograp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universitas Mercu Buana
2022-02-01
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| Series: | Jurnal Ilmiah SINERGI |
| Subjects: | |
| Online Access: | https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/11195 |
| _version_ | 1797712730781646848 |
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| author | Regina Lionnie Rizky Citra Ramadhan Ahmad Syadidu Rosyadi Muzammil Jusoh Mudrik Alaydrus |
| author_facet | Regina Lionnie Rizky Citra Ramadhan Ahmad Syadidu Rosyadi Muzammil Jusoh Mudrik Alaydrus |
| author_sort | Regina Lionnie |
| collection | DOAJ |
| description | Major cracks on a highway or bridge's concrete surface have a massive risk of damages, accompanied by less maintenance, slow detection, and handling; the worst case of the damage is the structure's total collapse, which can produce fatalities. Moreover, Indonesia's climate and geographical location contribute to a higher level of potential damage to the structure. In order to reduce the potential damage, the need for a surface crack detection system arises. This research analysed three different databases (Database A, B, and C) with different surface concrete crack types, such as early thermal contraction, plastic shrinkage, corrosion reinforcement, and non-crack images. The total images from each Database vary from 14 images for Database A, 80 images for Database B, and 4000 images for Database C. The Otsu thresholding and mathematical morphology operations such as opening, closing, dilation, and erosion with pre-processing methods were combined and produced results for each Database with classification using Euclidean distance calculation. The best results for Database A and B were 100% using combination Otsu thresholding with Laplacian operator and Laplacian of Gaussian filter and the same result for a combination of mathematical morphological operations. The best result using Database C, which had more images than Database A and B, was 80,2% using a combination of mathematical morphological operations. |
| first_indexed | 2024-03-12T07:26:28Z |
| format | Article |
| id | doaj.art-a31bdc9303544a47af143f95a120b4ea |
| institution | Directory Open Access Journal |
| issn | 1410-2331 2460-1217 |
| language | English |
| last_indexed | 2024-03-12T07:26:28Z |
| publishDate | 2022-02-01 |
| publisher | Universitas Mercu Buana |
| record_format | Article |
| series | Jurnal Ilmiah SINERGI |
| spelling | doaj.art-a31bdc9303544a47af143f95a120b4ea2023-09-02T22:08:15ZengUniversitas Mercu BuanaJurnal Ilmiah SINERGI1410-23312460-12172022-02-012611610.22441/sinergi.2022.1.0014573Performance analysis of various types of surface crack detection based on image processingRegina Lionnie0Rizky Citra Ramadhan1Ahmad Syadidu Rosyadi2Muzammil Jusoh3Mudrik Alaydrus4Department of Electrical Engineering, Faculty of Engineering, Universitas Mercu BuanaDepartment of Electrical Engineering, Faculty of Engineering, Universitas Mercu BuanaDepartment of Electrical Engineering, Faculty of Engineering, Universitas Mercu BuanaFaculty of Engineering Technology, Universiti Malaysia PerlisDepartment of Electrical Engineering, Faculty of Engineering, Universitas Mercu BuanaMajor cracks on a highway or bridge's concrete surface have a massive risk of damages, accompanied by less maintenance, slow detection, and handling; the worst case of the damage is the structure's total collapse, which can produce fatalities. Moreover, Indonesia's climate and geographical location contribute to a higher level of potential damage to the structure. In order to reduce the potential damage, the need for a surface crack detection system arises. This research analysed three different databases (Database A, B, and C) with different surface concrete crack types, such as early thermal contraction, plastic shrinkage, corrosion reinforcement, and non-crack images. The total images from each Database vary from 14 images for Database A, 80 images for Database B, and 4000 images for Database C. The Otsu thresholding and mathematical morphology operations such as opening, closing, dilation, and erosion with pre-processing methods were combined and produced results for each Database with classification using Euclidean distance calculation. The best results for Database A and B were 100% using combination Otsu thresholding with Laplacian operator and Laplacian of Gaussian filter and the same result for a combination of mathematical morphological operations. The best result using Database C, which had more images than Database A and B, was 80,2% using a combination of mathematical morphological operations.https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/11195corrosion crack imageearly thermal crack imagemathematical morphologyotsu thresholdingplastic shrinkage crack image |
| spellingShingle | Regina Lionnie Rizky Citra Ramadhan Ahmad Syadidu Rosyadi Muzammil Jusoh Mudrik Alaydrus Performance analysis of various types of surface crack detection based on image processing Jurnal Ilmiah SINERGI corrosion crack image early thermal crack image mathematical morphology otsu thresholding plastic shrinkage crack image |
| title | Performance analysis of various types of surface crack detection based on image processing |
| title_full | Performance analysis of various types of surface crack detection based on image processing |
| title_fullStr | Performance analysis of various types of surface crack detection based on image processing |
| title_full_unstemmed | Performance analysis of various types of surface crack detection based on image processing |
| title_short | Performance analysis of various types of surface crack detection based on image processing |
| title_sort | performance analysis of various types of surface crack detection based on image processing |
| topic | corrosion crack image early thermal crack image mathematical morphology otsu thresholding plastic shrinkage crack image |
| url | https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/11195 |
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