Road Surface Crack Detection using Wavelets Features Extraction Technique

Slamet Riyadi; Fiddin Yusfida A rsquo la; Chayadi Oktomy  and Kamarul Hawari Ghazali

doi:10.17485/ijst/2016/v9i47/108690

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Road Surface Crack Detection using Wavelets Features Extraction Technique

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i47/108690

Year: 2016, Volume: 9, Issue: 47, Pages: 1-5

Original Article

Road Surface Crack Detection using Wavelets Features Extraction Technique

Slamet Riyadi^1*, Fiddin Yusfida A’la¹ , Chayadi Oktomy¹ and Kamarul Hawari Ghazali²

¹Departmentof Information Technology, Faculty of Engineering Universitas Muhammadiyah Yogyakarta, Indonesia; [email protected], [email protected], [email protected] ² Faculty of Electrical and Electronics Engineering, University Malaysia Pahang, Malaysia; [email protected]

*Corresponding author
Slamet Riyadi
Departmentof Information Technology, Faculty of Engineering Universitas Muhammadiyah Yogyakarta, Indonesia; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Evaluation of road pavement is an important task to maintain its quality. In a traditional way, officer checks the road surface by surveying along the road. This traditional method is less efficient because it requires extensive costs, takes a long time, exposes to safety issues, and less accurate due to human subjective factor and fatigue. The objective of this research is to develop a features extraction method based on wavelets to detect crack and non-crack road surface. The method involves road surface acquisition, pre-processing, features extraction using wavelets and classification task using linear discriminate analysis. The developed method was implemented on 56 images and produced 92.8% of accuracy detection of crack and non-crack.

Keywords: Crack Detection, Feature Extraction, Image Processing, Discrete WaveletTransform