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 | |
| 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 |
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Keywords
- Cracks
- Earthquake
- Fissures
- Image processing
- Image segmentation
Cite this
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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
TY - GEN
T1 - An approach to the detection of post-seismic structural damage based on image segmentation methods
AU - Cevallos-Torres, Lorenzo J.
AU - Minda Gilces, Diana
AU - Guijarro-Rodriguez, Alfonso
AU - Barriga-Diaz, Ronald
AU - Leyva-Vazquez, Maikel
AU - Botto-Tobar, Miguel
PY - 2019/1/1
Y1 - 2019/1/1
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.
KW - Cracks
KW - Earthquake
KW - Fissures
KW - Image processing
KW - Image segmentation
UR - http://www.scopus.com/inward/record.url?scp=85059757320&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05532-5_49
DO - 10.1007/978-3-030-05532-5_49
M3 - Conference contribution
AN - SCOPUS:85059757320
SN - 978-3-030-05531-8
T3 - Communications in Computer and Information Science
SP - 644
EP - 658
BT - Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
A2 - Botto-Tobar, Miguel
A2 - D’Armas, Mayra
A2 - Zúñiga Sánchez, Miguel
A2 - Zúñiga-Prieto, Miguel
A2 - Pizarro, Guillermo
PB - Springer
CY - Cham
ER -