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 |
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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 | |
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 |
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Volume | 895 |
ISSN (Print) | 1865-0929 |
Conference
Conference | 4th International Conference on Technology Trends, CITT 2018 |
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Abbreviated title | CITT 2018 |
Country | Ecuador |
City | Babahoyo |
Period | 29/08/18 → 31/08/18 |
Internet address |
Keywords
- Cracks
- Earthquake
- Fissures
- Image processing
- Image segmentation