TY - JOUR
T1 - Comparison of image edge detection methods on potholes road images
AU - Indriyani, Tutuk
AU - Utoyo, Imam
AU - Rulaningtyas, Riries
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85092795293&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1613/1/012067
DO - 10.1088/1742-6596/1613/1/012067
M3 - Conference article
AN - SCOPUS:85092795293
SN - 1742-6588
VL - 1613
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012067
T2 - 2nd Ahmad Dahlan International Conference on Mathematics and Mathematics Education, ADINTERCOMME 2019
Y2 - 8 November 2019 through 9 November 2019
ER -