| dc.contributor.author | RIYADI, SLAMET | |
| dc.date.accessioned | 2017-12-22T04:43:15Z | |
| dc.date.available | 2017-12-22T04:43:15Z | |
| dc.date.issued | 2015 | |
| dc.identifier.issn | 3565 – 3568 | |
| dc.identifier.uri | http://repository.umy.ac.id/handle/123456789/16360 | |
| dc.description.abstract | Examination of road condition, especially pavement crack, needs to be done regularly. With regular checks, road conditions can be
maintained to keep it comfortable for road users. Currently, the examination was carried out manually where the officers observe all
pavement road and then take notes and mark the existence of cracks. This conventional method takes a long time, labour intensive
and low consistency due to the human factor. To overcome the problem, this research proposes the use of digital image processing
technique to detect the existence of cracked road surface. The detection technique is developed using Gaussian Pyramid method to create multiscale images and extraction of histogram and black-white area features. Linear discriminant analysis is then used to classify the crack and non-crack images. Based on experiment results, the method produces the accuracy of 92.8571% with 1.50 seconds of computation time per image. In conclusion, the proposed method successfully increase the accuracy of cracks detection
on pavement surface | en_US |
| dc.publisher | American Scientific Publishers | en_US |
| dc.relation.ispartofseries | Advanced Science Letters;Vol. 21 | |
| dc.subject | Pavement crack detection, image analysis, pyramidal Gaussian. | en_US |
| dc.title | ANALYSIS OF DIGITAL IMAGE USING PYRAMIDAL GAUSSIAN METHOD TO DETECT PAVEMENT CRACK | en_US |
| dc.title.alternative | Analysis of Digital Image using Pyramidal Gaussian Method to Detect Pavement Crack | en_US |
| dc.type | Article | en_US |
