Detection of Potholes Using Image Processing Method
Potholes are a common problem on roads, caused by weather, vehicle activity, and poor maintenance. Potholes can be hazardous for drivers, cars, and motorcycle riders. Potholes are often filled with asphalt or concrete. A methodology for automatically identifying potholes on road surfaces using compu...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Singapore
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/41142/1/Detection%20of%20Potholes%20Using%20Image%20Processing.pdf http://umpir.ump.edu.my/id/eprint/41142/2/Detection%20of%20Potholes%20Using%20Image%20Processing%20Method.pdf |
| _version_ | 1825815627485413376 |
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| author | Muhammad Zulkifli, Abdullah Norhairi Norazlianie, Sazali |
| author_facet | Muhammad Zulkifli, Abdullah Norhairi Norazlianie, Sazali |
| author_sort | Muhammad Zulkifli, Abdullah Norhairi |
| collection | UMP |
| description | Potholes are a common problem on roads, caused by weather, vehicle activity, and poor maintenance. Potholes can be hazardous for drivers, cars, and motorcycle riders. Potholes are often filled with asphalt or concrete. A methodology for automatically identifying potholes on road surfaces using computer vision methods is potholes detection utilizing image processing. This technique can be used to improve road maintenance by quickly locating potholes, enabling early repairs, and lowering the risk to drivers and their cars. This study emphasizes a Gaussian noise filtering technique for the developed infrastructure of image pre-processing stage. Thus, this study also suggests four methods for segmentation detecting potholes in images: image thresholding (Otsu), Canny edge detection, K-means clustering, and fuzzy C-means clustering. The effectiveness of the different image segmentation techniques was tested in MATLAB 2019a, and the results were generated in terms of accuracy and precision. The results were compared with each other to draw a conclusion on their viability. |
| first_indexed | 2024-09-25T03:49:04Z |
| format | Conference or Workshop Item |
| id | UMPir41142 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-09-25T03:49:04Z |
| publishDate | 2024 |
| publisher | Springer Singapore |
| record_format | dspace |
| spelling | UMPir411422024-05-16T04:26:47Z http://umpir.ump.edu.my/id/eprint/41142/ Detection of Potholes Using Image Processing Method Muhammad Zulkifli, Abdullah Norhairi Norazlianie, Sazali TS Manufactures Potholes are a common problem on roads, caused by weather, vehicle activity, and poor maintenance. Potholes can be hazardous for drivers, cars, and motorcycle riders. Potholes are often filled with asphalt or concrete. A methodology for automatically identifying potholes on road surfaces using computer vision methods is potholes detection utilizing image processing. This technique can be used to improve road maintenance by quickly locating potholes, enabling early repairs, and lowering the risk to drivers and their cars. This study emphasizes a Gaussian noise filtering technique for the developed infrastructure of image pre-processing stage. Thus, this study also suggests four methods for segmentation detecting potholes in images: image thresholding (Otsu), Canny edge detection, K-means clustering, and fuzzy C-means clustering. The effectiveness of the different image segmentation techniques was tested in MATLAB 2019a, and the results were generated in terms of accuracy and precision. The results were compared with each other to draw a conclusion on their viability. Springer Singapore 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41142/1/Detection%20of%20Potholes%20Using%20Image%20Processing.pdf pdf en http://umpir.ump.edu.my/id/eprint/41142/2/Detection%20of%20Potholes%20Using%20Image%20Processing%20Method.pdf Muhammad Zulkifli, Abdullah Norhairi and Norazlianie, Sazali (2024) Detection of Potholes Using Image Processing Method. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 597-606., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8 (Published) https://doi.org/10.1007/978-981-99-8819-8_50 |
| spellingShingle | TS Manufactures Muhammad Zulkifli, Abdullah Norhairi Norazlianie, Sazali Detection of Potholes Using Image Processing Method |
| title | Detection of Potholes Using Image Processing Method |
| title_full | Detection of Potholes Using Image Processing Method |
| title_fullStr | Detection of Potholes Using Image Processing Method |
| title_full_unstemmed | Detection of Potholes Using Image Processing Method |
| title_short | Detection of Potholes Using Image Processing Method |
| title_sort | detection of potholes using image processing method |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/41142/1/Detection%20of%20Potholes%20Using%20Image%20Processing.pdf http://umpir.ump.edu.my/id/eprint/41142/2/Detection%20of%20Potholes%20Using%20Image%20Processing%20Method.pdf |
| work_keys_str_mv | AT muhammadzulkifliabdullahnorhairi detectionofpotholesusingimageprocessingmethod AT norazlianiesazali detectionofpotholesusingimageprocessingmethod |