Estimation of pavement irregularities using digital image processing techniques. Authors Luis David Flórez-Pareja Universidad de Antioquia Juan Pablo Escobar-Arenas Universidad de Antioquia https://orcid.org/0000-0002-3255-5188 David Stephen Fernandez Mc Cann Universidad de Antioquia https://orcid.org/0000-0003-4898-4144 DOI: https://doi.org/10.33571/rpolitec.v19n37a2 Keywords: Digital image processing, Pavement irregularities, Intersection over junction, Pavement evaluation Abstract Transport routes play a fundamental role in the communication of a country, they are of vital importance both in the urban area and in the rural area, some of them are paved and constituted by various materials that with the passage of time can present different types of deterioration or irregularities. Therefore, with the following document it is intended to give a solution to estimate the damage caused by these irregularities that in sum are of interest to study the potholes, cracks and crocodile skins that are common with the passage of time in the respective road. With this objective, a treatment is carried out from the perspective of digital image processing using perspective transformation techniques, thresholds, filters, among others, in order to estimate the affected equivalent area that varies according to the irregularity, evaluating the veracity of the result by means of the intersection on union method (IOU) obtaining accuracy or precision values of 0.69, 0.87, 0.79 for deterioration such as crocodile skin, bumps and cracks conceived in this document. Article Metrics Abstract: 1338 PDF (Español (España)): 429 HTML (Español (España)): 144 PlumX metrics Author Biographies Luis David Flórez-Pareja, Universidad de Antioquia Ingeniero Electrónico, Grupo de Investigación GEPAR Juan Pablo Escobar-Arenas, Universidad de Antioquia Ingeniero Electrónico, Grupo de Investigación GEPAR David Stephen Fernandez Mc Cann, Universidad de Antioquia Docente Investigador, Grupo de Investigación GEPAR References S. D. Indicators, “Road Infrastructure and Economic Development,” 1992. R. Huincalef, G. Urrutia, G. Ingravallo, and D. C. Martínez, “Recognition of Surface Irregularities on Roads: a machine learning approach on 3D models,” 2018. L. Tello-Cifuentes, M. Aguirre-Sánchez, J. P. Díaz-Paz, and F. Hernández, “Evaluación de daños en pavimento flexible usando fotogrametría terrestre y redes neuronales,” TecnoLógicas, vol. 24, no. 50, Jan. 2021, doi: 10.22430/22565337.1686. D. Buchinger and A. G. Silva, “Anomalies detection in asphalt pavements: a morphological image processing approach,” Revista Brasileira de Computação Aplicada, vol. 6, no. 1, Apr. 2014, doi: 10.5335/rbca.2014.3661. C. Koch and I. Brilakis, “Pothole detection in asphalt pavement images,” Advanced Engineering Informatics, vol. 25, no. 3, Aug. 2011, doi: 10.1016/j.aei.2011.01.002. A. Cubero-Fernandez, Fco. J. Rodriguez-Lozano, R. Villatoro, J. Olivares, and J. M. Palomares, “Efficient pavement crack detection and classification,” EURASIP Journal on Image and Video Processing, vol. 2017, no. 1, Dec. 2017, doi: 10.1186/s13640-017-0187-0. U. Escalona, F. Arce, E. Zamora, and J. H. Sossa Azuela, “Fully Convolutional Networks for Automatic Pavement Crack Segmentation,” Computación y Sistemas, vol. 23, no. 2, Jun. 2019, doi: 10.13053/cys-23-2-3047. W. A. Mustafa, H. Aziz, W. Khairunizam, Z. Ibrahim, A. B. Shahriman, and Z. M. Razlan, “Review of Different Binarization Approaches on Degraded Document Images,” in 2018 International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018, 2018. A. Vyas, S. Yu, and J. Paik, “Fundamentals of digital image processing,” in Signals and Communication Technology, 2018. Downloads Móvil (Español (España)) PDF (Español (España)) HTML (Español (España)) Published 2023-03-28 How to Cite Flórez-Pareja, L. D., Escobar-Arenas, J. P., & Fernandez Mc Cann, D. S. (2023). Estimation of pavement irregularities using digital image processing techniques. Revista Politécnica, 19(37), 20–28. https://doi.org/10.33571/rpolitec.v19n37a2 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 19 No. 37 (2023): January-June, 2023 Section Articles License Copyright (c) 2023 Luis David Flórez-Pareja, Juan Pablo Escobar-Arenas, David Stephen Fernandez Mc Cann This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. _