| dc.contributor.author | SUSANTO, CHAYADI OKTOMY NOTO | |
| dc.date.accessioned | 2017-08-25T06:19:51Z | |
| dc.date.available | 2017-08-25T06:19:51Z | |
| dc.date.issued | 2016-06-12 | |
| dc.identifier.uri | http://repository.umy.ac.id/handle/123456789/13409 | |
| dc.description.abstract | Evaluation of road pavement is an important part of
maintaining its quality. In a traditional way, human checks the
asphalt by walking along the road. This traditional method it is less
efficient because it requires substantial costs, takes a long time,
exposed to safety issues such as the high intensity of vehicle
passing by, the subjective factor, and the fatigue factor. With digital
image processing technique, pavement evaluation will be safer for
surveyor. Pavement’s cracks are captured on a picture and then
processed with some algorithm. This paper explains the principle of
Discrete Wavelet Transform (DWT). The image is filtered by the
low-pass filter and a high-pass filter and decomposed into four subbands to perform feature extraction to extract unique features of the
picture. These extracted features are then applied to classification
method using linear discriminant analysis (LDA), and the accuracy
is about 92.8% | en_US |
| dc.subject | crack detection, feature extraction, image processing, discrete wavelet transform. | en_US |
| dc.title | DETECTION OF PAVEMENT SURFACE CRACK BASED ON IMAGE PROCESSING USING WAVELET FEATURES EXTRACTION TECHNIQUE | en_US |
