Nowadays, an important task is to evaluate the pavement condition, in order to perform necessary works for keeping the road safe. Performing such kind of surveys and calculations on the roads only by humans is ineffective not only concerning time but it also requires more costs and may be unsafe for pavement condition inspectors. In this paper we introduce an automated monitoring system, which can classify cracks and artifacts from pavement video images and illustrate the processed images results during image acquisition. Firstly, a threshold value is counted using the image histogram. Then, image processing operations are applied, namely binarization and segmentation on each frame.
oai:arar.sci.am:258848
ՀՀ ԳԱԱ Հիմնարար գիտական գրադարան
Dec 8, 2023
Jul 24, 2020
16
https://arar.sci.am/publication/281972
Edition name | Date |
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Video-Based Automated System for Pavement Surface Quality Monitoring | Dec 8, 2023 |
Seda N. Manukian
E. P. Serrano M. I. Troparevsky M. A. Fabio Գլխավոր խմբ․՝ Մ․ Մ․ Ջրբաշյան (1966-1994) Ռ․ Վ․ Համբարձումյան (1994-2009) Ա․ Ա․ Սահակյան (2010-)
Gatsinzi, J.-B. Գլխ. խմբ.՝ Անրի Ներսեսյան Պատ. խմբ.՝ Լինդա Խաչատրյան Խմբ. տեղակալ՝ Ռաֆայել Բարխուդարյան
E. A. Haroutunian I. A. Safarian P. A. Petrossian H. V. Nersessian
David G. Asatryan Grigor S. Sazhumyan Hayk S. Shahverdyan