| dc.contributor.author | RIYADI, SLAMET | |
| dc.date.accessioned | 2017-12-21T10:37:48Z | |
| dc.date.available | 2017-12-21T10:37:48Z | |
| dc.date.issued | 2016 | |
| dc.identifier.issn | 0974-6846 | |
| dc.identifier.uri | http://repository.umy.ac.id/handle/123456789/16355 | |
| dc.description.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 | en_US |
| dc.publisher | Indian Journal of Science and Technology, | en_US |
| dc.subject | crack detection, feature extraction, image processing, discrete wavelet transform | en_US |
| dc.title | ROAD SURFACE CRACK DETECTION USING WAVELETS FEATURES EXTRACTION TECHNIQUE | en_US |
