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

doi:10.1007/978-3-030-05532-5_49

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 proceeding › Conference contribution › Academic › peer-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.

Original language	English
Title of host publication	Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
Editors	Miguel Botto-Tobar, Mayra D’Armas, Miguel Zúñiga Sánchez, Miguel Zúñiga-Prieto, Guillermo Pizarro
Place of Publication	Cham
Publisher	Springer
Pages	644-658
Number of pages	15
ISBN (Print)	978-3-030-05531-8
DOIs	https://doi.org/10.1007/978-3-030-05532-5_49
Publication status	Published - 1 Jan 2019
Event	4th International Conference on Technology Trends, CITT 2018 - Babahoyo, Ecuador Duration: 29 Aug 2018 → 31 Aug 2018 Conference number: 4 http://citt.utb.edu.ec

Publication series

Name	Communications in Computer and Information Science
Volume	895
ISSN (Print)	1865-0929

Conference

Conference	4th International Conference on Technology Trends, CITT 2018
Abbreviated title	CITT 2018
Country	Ecuador
City	Babahoyo
Period	29/08/18 → 31/08/18
Internet address	http://citt.utb.edu.ec

Keywords

Cracks
Earthquake
Fissures
Image processing
Image segmentation

Access to Document

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

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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). Springer. https://doi.org/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).

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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",

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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. https://doi.org/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 proceeding › Conference contribution › Academic › peer-review

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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.

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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). https://doi.org/10.1007/978-3-030-05532-5_49