Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm

This study focuses on optical image pavement damage detection instead of artificial detection in pavement maintenance. Based on the characteristics of cracks and combined with the niche theory, it proposes a dynamic adaptive curve extraction algorithm. First, we construct the matrix space, map the o...

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Autores principales:	Peng Bai, Linfeng Chen, Songrong Jiang, Yu Gong, Qishen Li
Formato:	article
Lenguaje:	EN
Publicado:	Tamkang University Press 2021
Materias:	pavement crack detection image processing niche thought Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
Acceso en línea:	https://doaj.org/article/efdd6698dd6c4664b5900a169c05e0c9
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id	oai:doaj.org-article:efdd6698dd6c4664b5900a169c05e0c9
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spelling	oai:doaj.org-article:efdd6698dd6c4664b5900a169c05e0c92021-11-27T11:02:06ZCrack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm10.6180/jase.202206_25(3).00182708-99672708-9975https://doaj.org/article/efdd6698dd6c4664b5900a169c05e0c92021-11-01T00:00:00Zhttp://jase.tku.edu.tw/articles/jase-202206-25-3-0018https://doaj.org/toc/2708-9967https://doaj.org/toc/2708-9975This study focuses on optical image pavement damage detection instead of artificial detection in pavement maintenance. Based on the characteristics of cracks and combined with the niche theory, it proposes a dynamic adaptive curve extraction algorithm. First, we construct the matrix space, map the original pavement image data to the target space, process the data in target space using the multi-trough algorithm, then connect the extreme gray value points between two adjacent scanning rows with lines, compare the average gray value of the line with the average gray value of this area, and judge the possibility of cracks according to curve extension characteristics. The method considers oil, water stain, irregular concave spot, and other kinds of image noise on the pavement surface. It has good adaptability, and experimental results show that the algorithm is effective.Peng BaiLinfeng ChenSongrong JiangYu GongQishen LiTamkang University Pressarticlepavementcrack detectionimage processingniche thoughtEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156PhysicsQC1-999ENJournal of Applied Science and Engineering, Vol 25, Iss 3, Pp 513-526 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pavement crack detection image processing niche thought Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
spellingShingle	pavement crack detection image processing niche thought Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999 Peng Bai Linfeng Chen Songrong Jiang Yu Gong Qishen Li Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm
description	This study focuses on optical image pavement damage detection instead of artificial detection in pavement maintenance. Based on the characteristics of cracks and combined with the niche theory, it proposes a dynamic adaptive curve extraction algorithm. First, we construct the matrix space, map the original pavement image data to the target space, process the data in target space using the multi-trough algorithm, then connect the extreme gray value points between two adjacent scanning rows with lines, compare the average gray value of the line with the average gray value of this area, and judge the possibility of cracks according to curve extension characteristics. The method considers oil, water stain, irregular concave spot, and other kinds of image noise on the pavement surface. It has good adaptability, and experimental results show that the algorithm is effective.
format	article
author	Peng Bai Linfeng Chen Songrong Jiang Yu Gong Qishen Li
author_facet	Peng Bai Linfeng Chen Songrong Jiang Yu Gong Qishen Li
author_sort	Peng Bai
title	Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm
title_short	Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm
title_full	Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm
title_fullStr	Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm
title_full_unstemmed	Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm
title_sort	crack detection in pavement images based on a self- adaptive niche algorithm
publisher	Tamkang University Press
publishDate	2021
url	https://doaj.org/article/efdd6698dd6c4664b5900a169c05e0c9
work_keys_str_mv	AT pengbai crackdetectioninpavementimagesbasedonaselfadaptivenichealgorithm AT linfengchen crackdetectioninpavementimagesbasedonaselfadaptivenichealgorithm AT songrongjiang crackdetectioninpavementimagesbasedonaselfadaptivenichealgorithm AT yugong crackdetectioninpavementimagesbasedonaselfadaptivenichealgorithm AT qishenli crackdetectioninpavementimagesbasedonaselfadaptivenichealgorithm
_version_	1718409020022194176

Crack Detection in Pavement Images Based on a Self- Adaptive Niche Algorithm

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