Depth estimation of steel cracks using laser and image processing techniques

Depth estimation of steel cracks using laser and image processing techniques

Crack detection is needed to maintain safety and its automation is a must when human-based inspection cannot be made due to space limitations and/or hazards. In this study, an automatic crack depth measurement method using image processing and laser methods is developed. Measurement of maximum actua...

Full description

Bibliographic Details
Main Authors: Hesham M. Shehata, Yasser S. Mohamed, Mohamed Abdellatif, Taher H. Awad
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Alexandria Engineering Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016818300693
id doaj-2c854574eb864a0ebd14a29777d71259
record_format Article
spelling doaj-2c854574eb864a0ebd14a29777d712592021-06-02T05:20:03ZengElsevierAlexandria Engineering Journal1110-01682018-12-0157427132718Depth estimation of steel cracks using laser and image processing techniquesHesham M. Shehata0Yasser S. Mohamed1Mohamed Abdellatif2Taher H. Awad3Technology Management Department, Egypt-Japan University of Science and Technology, E-JUST, New Borg El-Arab City, Alexandria, EgyptDepartment of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria, EgyptDepartment of Mechanical Engineering, Faculty of Engineering and Technology, Future University in Egypt, FUE, Cairo, EgyptDepartment of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria, EgyptCrack detection is needed to maintain safety and its automation is a must when human-based inspection cannot be made due to space limitations and/or hazards. In this study, an automatic crack depth measurement method using image processing and laser methods is developed. Measurement of maximum actual depths is done using Keyence (VK-X100) laser microscope. Microscope capture crack image segments using 1/3 in. (8.5 mm) sensor color charge-coupled device (CCD) camera with high resolution and 10x constant magnification. Depths are also calculated using the updated Make3D toolbox. Measured and calculated depths are compared for 11 cracked specimens with 105 segments. The comparison showed that the minimum and overall average error between measured and calculated depths are about 6.13% and 28.22% respectively. Keywords: Steel crack inspection, Image processing, Laser depth measurements, Construction safetyhttp://www.sciencedirect.com/science/article/pii/S1110016818300693
collection DOAJ
language English
format Article
sources DOAJ
author Hesham M. Shehata
Yasser S. Mohamed
Mohamed Abdellatif
Taher H. Awad
spellingShingle Hesham M. Shehata
Yasser S. Mohamed
Mohamed Abdellatif
Taher H. Awad
Depth estimation of steel cracks using laser and image processing techniques
Alexandria Engineering Journal
author_facet Hesham M. Shehata
Yasser S. Mohamed
Mohamed Abdellatif
Taher H. Awad
author_sort Hesham M. Shehata
title Depth estimation of steel cracks using laser and image processing techniques
title_short Depth estimation of steel cracks using laser and image processing techniques
title_full Depth estimation of steel cracks using laser and image processing techniques
title_fullStr Depth estimation of steel cracks using laser and image processing techniques
title_full_unstemmed Depth estimation of steel cracks using laser and image processing techniques
title_sort depth estimation of steel cracks using laser and image processing techniques
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2018-12-01
description Crack detection is needed to maintain safety and its automation is a must when human-based inspection cannot be made due to space limitations and/or hazards. In this study, an automatic crack depth measurement method using image processing and laser methods is developed. Measurement of maximum actual depths is done using Keyence (VK-X100) laser microscope. Microscope capture crack image segments using 1/3 in. (8.5 mm) sensor color charge-coupled device (CCD) camera with high resolution and 10x constant magnification. Depths are also calculated using the updated Make3D toolbox. Measured and calculated depths are compared for 11 cracked specimens with 105 segments. The comparison showed that the minimum and overall average error between measured and calculated depths are about 6.13% and 28.22% respectively. Keywords: Steel crack inspection, Image processing, Laser depth measurements, Construction safety
url http://www.sciencedirect.com/science/article/pii/S1110016818300693
work_keys_str_mv AT heshammshehata depthestimationofsteelcracksusinglaserandimageprocessingtechniques
AT yassersmohamed depthestimationofsteelcracksusinglaserandimageprocessingtechniques
AT mohamedabdellatif depthestimationofsteelcracksusinglaserandimageprocessingtechniques
AT taherhawad depthestimationofsteelcracksusinglaserandimageprocessingtechniques
_version_ 1721408141553303552

Similar Items