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.

Original 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
Publication statusPublished - 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

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