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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

1 Citaat (Scopus)

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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.

Originele taal-2	Engels
Titel	Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
Redacteuren	Miguel Botto-Tobar, Mayra D’Armas, Miguel Zúñiga Sánchez, Miguel Zúñiga-Prieto, Guillermo Pizarro
Plaats van productie	Cham
Uitgeverij	Springer
Pagina's	644-658
Aantal pagina's	15
ISBN van geprinte versie	978-3-030-05531-8
DOI's	https://doi.org/10.1007/978-3-030-05532-5_49
Status	Gepubliceerd - 1 jan. 2019
Evenement	4th International Conference on Technology Trends, CITT 2018 - Babahoyo, Ecuador Duur: 29 aug. 2018 → 31 aug. 2018 Congresnummer: 4 http://citt.utb.edu.ec

Publicatie series

Naam	Communications in Computer and Information Science
Volume	895
ISSN van geprinte versie	1865-0929

Congres

Congres	4th International Conference on Technology Trends, CITT 2018
Verkorte titel	CITT 2018
Land/Regio	Ecuador
Stad	Babahoyo
Periode	29/08/18 → 31/08/18
Internet adres	http://citt.utb.edu.ec

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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 (editors), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers (blz. 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 et al. / 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. redacteur / Miguel Botto-Tobar ; Mayra D’Armas ; Miguel Zúñiga Sánchez ; Miguel Zúñiga-Prieto ; Guillermo Pizarro. Cham : Springer, 2019. blz. 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",

year = "2019",

month = jan,

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doi = "10.1007/978-3-030-05532-5_49",

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booktitle = "Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers",

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note = "4th International Conference on Technology Trends, CITT 2018, CITT 2018 ; Conference date: 29-08-2018 Through 31-08-2018",

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Minda Gilces, Diana

AU - Guijarro-Rodriguez, Alfonso

AU - Barriga-Diaz, Ronald

AU - Leyva-Vazquez, Maikel

AU - Botto-Tobar, Miguel

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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.

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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, redacteurs, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Cham: Springer. 2019. blz. 644-658. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-05532-5_49

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

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