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Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat

Road safety and pavement condition are considered top priorities in our civilized societies, and it’s important that the pavement condition remains in an excellent state for a long time. However, eventually, the pavement will get exposed to different types of distresses as a result of traffic loads,...

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Main Author: Omar, Hend Ali
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/21982/1/kjt_24.pdf
http://journalarticle.ukm.my/21982/
https://www.ukm.my/jkukm/volume-3501-2023/
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spelling my-ukm.journal.219822023-07-27T06:33:22Z http://journalarticle.ukm.my/21982/ Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat Omar, Hend Ali Road safety and pavement condition are considered top priorities in our civilized societies, and it’s important that the pavement condition remains in an excellent state for a long time. However, eventually, the pavement will get exposed to different types of distresses as a result of traffic loads, rough environment conditions, soil conditions, and underline subgrade. Therefore, to achieve the required standards for the pavement surface roads in our country and provide the best performance: detection and measurements of distresses extension must be included in maintenance preparation. This paper proposes a technique for crack detection based on digital image processing using a programming language called Matrix Laboratory known as MATLAB. The main target is to estimate the pavement’s length, width, and area by capturing the image using a digital camera with the required precautions and image implementation. Secondly, developing an image pre-processing operation to eliminate environmental interference as much as possible and subsequently use the image thresholding method to separate the pixels within the image into two groups to find the thresholding value for image binarization. The method successfully detects and removes the presence of unwanted objects in an image, even in difficult situations where surfaces are less visible. Verification showed good results with an excellent processing time, which can be considered an indicator of pavement crack parameters. Penerbit Universiti Kebangsaan Malaysia 2023 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/21982/1/kjt_24.pdf Omar, Hend Ali (2023) Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat. Jurnal Kejuruteraan, 35 (1). pp. 247-256. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3501-2023/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Road safety and pavement condition are considered top priorities in our civilized societies, and it’s important that the pavement condition remains in an excellent state for a long time. However, eventually, the pavement will get exposed to different types of distresses as a result of traffic loads, rough environment conditions, soil conditions, and underline subgrade. Therefore, to achieve the required standards for the pavement surface roads in our country and provide the best performance: detection and measurements of distresses extension must be included in maintenance preparation. This paper proposes a technique for crack detection based on digital image processing using a programming language called Matrix Laboratory known as MATLAB. The main target is to estimate the pavement’s length, width, and area by capturing the image using a digital camera with the required precautions and image implementation. Secondly, developing an image pre-processing operation to eliminate environmental interference as much as possible and subsequently use the image thresholding method to separate the pixels within the image into two groups to find the thresholding value for image binarization. The method successfully detects and removes the presence of unwanted objects in an image, even in difficult situations where surfaces are less visible. Verification showed good results with an excellent processing time, which can be considered an indicator of pavement crack parameters.
format Article
author Omar, Hend Ali
spellingShingle Omar, Hend Ali
Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
author_facet Omar, Hend Ali
author_sort Omar, Hend Ali
title Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
title_short Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
title_full Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
title_fullStr Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
title_full_unstemmed Pavement surface distress detection using digital image processing techniques Abdulsalam Basher Alayat
title_sort pavement surface distress detection using digital image processing techniques abdulsalam basher alayat
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2023
url http://journalarticle.ukm.my/21982/1/kjt_24.pdf
http://journalarticle.ukm.my/21982/
https://www.ukm.my/jkukm/volume-3501-2023/
_version_ 1772812470225731584
score 13.211869

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