An approach to the detection of post-seismic structural damage based on image segmentation methods

Lorenzo J. Cevallos-Torres, Diana Minda Gilces, Alfonso Guijarro-Rodriguez, Ronald Barriga-Diaz, Maikel Leyva-Vazquez, Miguel Botto-Tobar

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Crack detection is critical in ensuring basic structural security, however manual identification of cracks is time-consuming and is subject to the judgments of reviewers. This research presents a crack detection technique based on image processing. The digital image processing is divided into different phases and each of them follow techniques that improve the quality of the images. In the segmentation phase, images traits need to be highlighted. This document portrays the image segmentation of a set of digital photographs of cracks and crevices of the different structures of the buildings of the faculties of the University of Guayaquil. In this study, a function is developed using the computational tool, Matlab, to obtain results by submitting the images to the different segmentation techniques applied during the investigation, for which methods are proposed such as: The Canny transform, The Sobel Operator and the Prewitt Transform. With the obtained results, crack measurement is applied based on the manual selection of pixels in order to generate damage assessment.

LanguageEnglish
Title of host publicationTechnology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
EditorsMiguel Botto-Tobar, Mayra D’Armas, Miguel Zúñiga Sánchez, Miguel Zúñiga-Prieto, Guillermo Pizarro
Place of PublicationCham
PublisherSpringer
Pages644-658
Number of pages15
ISBN (Print)978-3-030-05531-8
DOIs
StatePublished - 1 Jan 2019
Event4th International Conference on Technology Trends, CITT 2018 - Babahoyo, Ecuador
Duration: 29 Aug 201831 Aug 2018
Conference number: 4
http://citt.utb.edu.ec

Publication series

NameCommunications in Computer and Information Science
Volume895
ISSN (Print)1865-0929

Conference

Conference4th International Conference on Technology Trends, CITT 2018
Abbreviated titleCITT 2018
CountryEcuador
CityBabahoyo
Period29/08/1831/08/18
Internet address

Fingerprint

Image segmentation
Image Segmentation
Crack Detection
Crack detection
Crack
Damage
Cracks
Image processing
Segmentation
Transform
Damage Assessment
Digital Image Processing
MATLAB
Mathematical operators
Image Processing
Pixel
Pixels
Mathematical transformations
Operator

Keywords

  • Cracks
  • Earthquake
  • Fissures
  • Image processing
  • Image segmentation

Cite this

Cevallos-Torres, L. J., Minda Gilces, D., Guijarro-Rodriguez, A., Barriga-Diaz, R., Leyva-Vazquez, M., & Botto-Tobar, M. (2019). An approach to the detection of post-seismic structural damage based on image segmentation methods. In M. Botto-Tobar, M. D’Armas, M. Zúñiga Sánchez, M. Zúñiga-Prieto, & G. Pizarro (Eds.), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers (pp. 644-658). (Communications in Computer and Information Science; Vol. 895). Cham: Springer. DOI: 10.1007/978-3-030-05532-5_49
Cevallos-Torres, Lorenzo J. ; Minda Gilces, Diana ; Guijarro-Rodriguez, Alfonso ; Barriga-Diaz, Ronald ; Leyva-Vazquez, Maikel ; Botto-Tobar, Miguel. / An approach to the detection of post-seismic structural damage based on image segmentation methods. Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. editor / Miguel Botto-Tobar ; Mayra D’Armas ; Miguel Zúñiga Sánchez ; Miguel Zúñiga-Prieto ; Guillermo Pizarro. Cham : Springer, 2019. pp. 644-658 (Communications in Computer and Information Science).
@inproceedings{db12b3d3af8f4e7f992c34f8cd29d7f4,
title = "An approach to the detection of post-seismic structural damage based on image segmentation methods",
abstract = "Crack detection is critical in ensuring basic structural security, however manual identification of cracks is time-consuming and is subject to the judgments of reviewers. This research presents a crack detection technique based on image processing. The digital image processing is divided into different phases and each of them follow techniques that improve the quality of the images. In the segmentation phase, images traits need to be highlighted. This document portrays the image segmentation of a set of digital photographs of cracks and crevices of the different structures of the buildings of the faculties of the University of Guayaquil. In this study, a function is developed using the computational tool, Matlab, to obtain results by submitting the images to the different segmentation techniques applied during the investigation, for which methods are proposed such as: The Canny transform, The Sobel Operator and the Prewitt Transform. With the obtained results, crack measurement is applied based on the manual selection of pixels in order to generate damage assessment.",
keywords = "Cracks, Earthquake, Fissures, Image processing, Image segmentation",
author = "Cevallos-Torres, {Lorenzo J.} and {Minda Gilces}, Diana and Alfonso Guijarro-Rodriguez and Ronald Barriga-Diaz and Maikel Leyva-Vazquez and Miguel Botto-Tobar",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-05532-5_49",
language = "English",
isbn = "978-3-030-05531-8",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "644--658",
editor = "Miguel Botto-Tobar and Mayra D’Armas and {Z{\'u}{\~n}iga S{\'a}nchez}, Miguel and Miguel Z{\'u}{\~n}iga-Prieto and Guillermo Pizarro",
booktitle = "Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers",
address = "Germany",

}

Cevallos-Torres, LJ, Minda Gilces, D, Guijarro-Rodriguez, A, Barriga-Diaz, R, Leyva-Vazquez, M & Botto-Tobar, M 2019, An approach to the detection of post-seismic structural damage based on image segmentation methods. in M Botto-Tobar, M D’Armas, M Zúñiga Sánchez, M Zúñiga-Prieto & G Pizarro (eds), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 895, Springer, Cham, pp. 644-658, 4th International Conference on Technology Trends, CITT 2018, Babahoyo, Ecuador, 29/08/18. DOI: 10.1007/978-3-030-05532-5_49

An approach to the detection of post-seismic structural damage based on image segmentation methods. / Cevallos-Torres, Lorenzo J.; Minda Gilces, Diana; Guijarro-Rodriguez, Alfonso; Barriga-Diaz, Ronald; Leyva-Vazquez, Maikel; Botto-Tobar, Miguel.

Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. ed. / Miguel Botto-Tobar; Mayra D’Armas; Miguel Zúñiga Sánchez; Miguel Zúñiga-Prieto; Guillermo Pizarro. Cham : Springer, 2019. p. 644-658 (Communications in Computer and Information Science; Vol. 895).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - An approach to the detection of post-seismic structural damage based on image segmentation methods

AU - Cevallos-Torres,Lorenzo J.

AU - Minda Gilces,Diana

AU - Guijarro-Rodriguez,Alfonso

AU - Barriga-Diaz,Ronald

AU - Leyva-Vazquez,Maikel

AU - Botto-Tobar,Miguel

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Crack detection is critical in ensuring basic structural security, however manual identification of cracks is time-consuming and is subject to the judgments of reviewers. This research presents a crack detection technique based on image processing. The digital image processing is divided into different phases and each of them follow techniques that improve the quality of the images. In the segmentation phase, images traits need to be highlighted. This document portrays the image segmentation of a set of digital photographs of cracks and crevices of the different structures of the buildings of the faculties of the University of Guayaquil. In this study, a function is developed using the computational tool, Matlab, to obtain results by submitting the images to the different segmentation techniques applied during the investigation, for which methods are proposed such as: The Canny transform, The Sobel Operator and the Prewitt Transform. With the obtained results, crack measurement is applied based on the manual selection of pixels in order to generate damage assessment.

AB - Crack detection is critical in ensuring basic structural security, however manual identification of cracks is time-consuming and is subject to the judgments of reviewers. This research presents a crack detection technique based on image processing. The digital image processing is divided into different phases and each of them follow techniques that improve the quality of the images. In the segmentation phase, images traits need to be highlighted. This document portrays the image segmentation of a set of digital photographs of cracks and crevices of the different structures of the buildings of the faculties of the University of Guayaquil. In this study, a function is developed using the computational tool, Matlab, to obtain results by submitting the images to the different segmentation techniques applied during the investigation, for which methods are proposed such as: The Canny transform, The Sobel Operator and the Prewitt Transform. With the obtained results, crack measurement is applied based on the manual selection of pixels in order to generate damage assessment.

KW - Cracks

KW - Earthquake

KW - Fissures

KW - Image processing

KW - Image segmentation

UR - http://www.scopus.com/inward/record.url?scp=85059757320&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-05532-5_49

DO - 10.1007/978-3-030-05532-5_49

M3 - Conference contribution

SN - 978-3-030-05531-8

T3 - Communications in Computer and Information Science

SP - 644

EP - 658

BT - Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers

PB - Springer

CY - Cham

ER -

Cevallos-Torres LJ, Minda Gilces D, Guijarro-Rodriguez A, Barriga-Diaz R, Leyva-Vazquez M, Botto-Tobar M. An approach to the detection of post-seismic structural damage based on image segmentation methods. In Botto-Tobar M, D’Armas M, Zúñiga Sánchez M, Zúñiga-Prieto M, Pizarro G, editors, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Cham: Springer. 2019. p. 644-658. (Communications in Computer and Information Science). Available from, DOI: 10.1007/978-3-030-05532-5_49