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

    1 Citation (Scopus)


    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
    Number of pages15
    ISBN (Print)978-3-030-05531-8
    Publication statusPublished - 1 Jan 2019
    Event4th International Conference on Technology Trends, CITT 2018 - Babahoyo, Ecuador
    Duration: 29 Aug 201831 Aug 2018
    Conference number: 4

    Publication series

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


    Conference4th International Conference on Technology Trends, CITT 2018
    Abbreviated titleCITT 2018
    Internet address


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


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