An algorithm to image-based pavement cracks<br /> geometry features extraction<br />
Journal Title: Science Paper Online - Year 2007, Vol 2, Issue 7
Abstract
Conventional human-visual and manual pavement cracks detection method and approaches are not fit to the development of the highway any more, and they possess various drawbacks such as labor-intensive, time-consuming, traffic-influencing, dangerous and result-inconsistent which requires to survey the pavement condition automatically. This paper describes an automatic pavement cracks detection method based on digitized image process, it enhances the line-scan pavement image by using a fast correct method in the first, then processes image segmentation based on multi-scale space model, in the end extracts the geometry features of the pavement cracks which provide useful evidence to pavement cracks classification. Experiment results demonstrate the algorithm can correctly discover tiny cracks even from noise pavement images and can extract geometrical parameters exactly.
Authors and Affiliations
Qingquan Li , Xianglong Liu
Keywords
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- EP ID EP160040
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