Monitoring crack changes in concrete structures

Hong Gyoo Sohn, Yun Mook Lim, Kong Hyun Yun, Gi Hong Kim

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

This study proposes a crack-monitoring system to quantify the change of cracks from multitemporal images during the monitoring period. A series of images were taken from an off-the-shelf digital camera. Concrete cracks were extracted from the digital images by employing a series of image-processing techniques. The image coordinates and orientation of same cracks can be changed since the position and direction of the portable camera vary at every exposure time. To monitor the crack changes (width and length), it is critical to transform the image coordinates of cracks extracted from each image into the same object coordinates of the concrete surface. In this study, such a geometric relationship was automatically recovered using the two-dimensional (2D) projective transformation based on the modified iterated Hough transform (MIHT) algorithm, the result of which solved the transformation parameters. To improve the computational operation of MIHT, regions of parameter estimation were also investigated. The developed algorithms were applied to monitor the crack of the concrete specimen. As a result, the change of cracks on the concrete specimen was successfully detected and accurately quantified.

Original languageEnglish
Pages (from-to)52-61
Number of pages10
JournalComputer-Aided Civil and Infrastructure Engineering
Volume20
Issue number1
DOIs
Publication statusPublished - 2005 Jan 1

Fingerprint

Concrete construction
Cracks
Monitoring
Concretes
Hough transforms
Digital cameras
Parameter estimation
Image processing
Cameras

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

Cite this

@article{9a5c3e5239b2478fa0b6cf11fb18fc18,
title = "Monitoring crack changes in concrete structures",
abstract = "This study proposes a crack-monitoring system to quantify the change of cracks from multitemporal images during the monitoring period. A series of images were taken from an off-the-shelf digital camera. Concrete cracks were extracted from the digital images by employing a series of image-processing techniques. The image coordinates and orientation of same cracks can be changed since the position and direction of the portable camera vary at every exposure time. To monitor the crack changes (width and length), it is critical to transform the image coordinates of cracks extracted from each image into the same object coordinates of the concrete surface. In this study, such a geometric relationship was automatically recovered using the two-dimensional (2D) projective transformation based on the modified iterated Hough transform (MIHT) algorithm, the result of which solved the transformation parameters. To improve the computational operation of MIHT, regions of parameter estimation were also investigated. The developed algorithms were applied to monitor the crack of the concrete specimen. As a result, the change of cracks on the concrete specimen was successfully detected and accurately quantified.",
author = "Sohn, {Hong Gyoo} and Lim, {Yun Mook} and Yun, {Kong Hyun} and Kim, {Gi Hong}",
year = "2005",
month = "1",
day = "1",
doi = "10.1111/j.1467-8667.2005.00376.x",
language = "English",
volume = "20",
pages = "52--61",
journal = "Computer-Aided Civil and Infrastructure Engineering",
issn = "1093-9687",
publisher = "Wiley-Blackwell",
number = "1",

}

Monitoring crack changes in concrete structures. / Sohn, Hong Gyoo; Lim, Yun Mook; Yun, Kong Hyun; Kim, Gi Hong.

In: Computer-Aided Civil and Infrastructure Engineering, Vol. 20, No. 1, 01.01.2005, p. 52-61.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Monitoring crack changes in concrete structures

AU - Sohn, Hong Gyoo

AU - Lim, Yun Mook

AU - Yun, Kong Hyun

AU - Kim, Gi Hong

PY - 2005/1/1

Y1 - 2005/1/1

N2 - This study proposes a crack-monitoring system to quantify the change of cracks from multitemporal images during the monitoring period. A series of images were taken from an off-the-shelf digital camera. Concrete cracks were extracted from the digital images by employing a series of image-processing techniques. The image coordinates and orientation of same cracks can be changed since the position and direction of the portable camera vary at every exposure time. To monitor the crack changes (width and length), it is critical to transform the image coordinates of cracks extracted from each image into the same object coordinates of the concrete surface. In this study, such a geometric relationship was automatically recovered using the two-dimensional (2D) projective transformation based on the modified iterated Hough transform (MIHT) algorithm, the result of which solved the transformation parameters. To improve the computational operation of MIHT, regions of parameter estimation were also investigated. The developed algorithms were applied to monitor the crack of the concrete specimen. As a result, the change of cracks on the concrete specimen was successfully detected and accurately quantified.

AB - This study proposes a crack-monitoring system to quantify the change of cracks from multitemporal images during the monitoring period. A series of images were taken from an off-the-shelf digital camera. Concrete cracks were extracted from the digital images by employing a series of image-processing techniques. The image coordinates and orientation of same cracks can be changed since the position and direction of the portable camera vary at every exposure time. To monitor the crack changes (width and length), it is critical to transform the image coordinates of cracks extracted from each image into the same object coordinates of the concrete surface. In this study, such a geometric relationship was automatically recovered using the two-dimensional (2D) projective transformation based on the modified iterated Hough transform (MIHT) algorithm, the result of which solved the transformation parameters. To improve the computational operation of MIHT, regions of parameter estimation were also investigated. The developed algorithms were applied to monitor the crack of the concrete specimen. As a result, the change of cracks on the concrete specimen was successfully detected and accurately quantified.

UR - http://www.scopus.com/inward/record.url?scp=16244376439&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=16244376439&partnerID=8YFLogxK

U2 - 10.1111/j.1467-8667.2005.00376.x

DO - 10.1111/j.1467-8667.2005.00376.x

M3 - Article

VL - 20

SP - 52

EP - 61

JO - Computer-Aided Civil and Infrastructure Engineering

JF - Computer-Aided Civil and Infrastructure Engineering

SN - 1093-9687

IS - 1

ER -