International Journal of Artificial Intelligence Research
Vol 4, No 2 (2020): December 2020

Texton Based Segmentation for Road Defect Detection from Aerial Imagery

Adhi Prahara (Universitas Ahmad Dahlan)
Son Ali Akbar (Universitas Malaysia Pahang)
Ahmad Azhari (Universitas Ahmad Dahlan)

Article Info

Publish Date
05 Dec 2020


Road defect such as potholes and road cracks, became a problem that arose every year in Indonesia. It could endanger drivers and damage the vehicles. It also obstructed the goods distribution via land transportation that had major impact to the economy. To handle this problem, the government released an online complaints system that utilized information system and GPS technology. To follow up the complaints especially road defect problem, a survey was conducted to assess the damage. Manual survey became less effective for large road area and might disturb the traffic. Therefore, we used road aerial imagery captured by Unmanned Aerial Vehicle (UAV). The proposed method used texton combined with K-Nearest Neighbor (K-NN) to segment the road area and Support Vector Machine (SVM) to detect the road defect. Morphological operation followed by blob analysis was performed to locate, measure, and determine the type of defect. The experiment showed that the proposed method able to segment the road area and detect road defect from aerial imagery with good Boundary F1 score.

Copyrights © 2020

Journal Info





Computer Science & IT Electrical & Electronics Engineering


International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) ...