Fractal dimension applied in highway surface crack detection

Bei Chen; Wenlun Cao; Yuyao He

doi:10.1117/12.946020

2 June 2012 Fractal dimension applied in highway surface crack detection

Bei Chen, Wenlun Cao, Yuyao He

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83340B (2012) https://doi.org/10.1117/12.946020
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

This paper presents a fractal dimension calculation technique of highway pavement which is used to detect the pavement cracking. Firstly, the impulse noises generated by pavement unevenness are eliminated by the use of median filtering of pavement image. Secondly, the fractal dimension of fissure is calculated according to the crack's fractal feature. Finally, the pavement damage is detected and located with respect to fractal dimension. These three steps can realize the location detection and damage rate computation of pavement damage successfully. To a number of random images, the experiment results show that the fractal dimension of pavement crack region is from 2.25 to 2.99 basically.

Citation Download Citation

Bei Chen, Wenlun Cao, and Yuyao He "Fractal dimension applied in highway surface crack detection", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340B (2 June 2012); https://doi.org/10.1117/12.946020

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