Comparison of image edge detection methods on potholes road images

Tutuk Indriyani, Imam Utoyo, Riries Rulaningtyas

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Dinas pekerjaan Umum (DPU) in Surabaya in carrying out road repairs, especially in potholes, must know the position, area and depth. So it is important to do research to find out the surface area of potholes. To find out the surface area of the hole, the edge detection process is done first. Edge detection functions to get the edge of an object. Edge detection is obtained by utilizing a drastic change in the intensity value at the boundary of two areas. In this study, to determine the edge of an object (potholes road) by comparing three edge detection methods consisting of the Frei-Chen, Laplacian and Laplacian of Gaussian (LoG) methods. From the results of testing the Laplacian of Gaussian method has an average value of accuracy of 67%, sensitivity of 81.97% and specificity of 65.16%.The measurement results obtained by the Lapalacian of Gaussian method which is the best method for edge detection in potholes road images, because it produces the highest accuracy, sensitivity and specificity.

Original languageEnglish
Article number012067
JournalJournal of Physics: Conference Series
Volume1613
Issue number1
DOIs
Publication statusPublished - 21 Sept 2020
Event2nd Ahmad Dahlan International Conference on Mathematics and Mathematics Education, ADINTERCOMME 2019 - Yogyakarta, Indonesia
Duration: 8 Nov 20199 Nov 2019

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