Share Email Print

Proceedings Paper

An advanced algorithm for highway pavement fissure detection
Author(s): Bei Chen; Wenlun Cao; Yuyao He
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents image detection method of pavement crack based on fractal dimension feature and designs self-adapting algorithm of fractal dimension interval of pavement region. Through image pretreatment, calculation of fractal dimension, self-adapting calculation of dimension interval, we obtain the location image of damage pavement. The experimental results of transverse crack, longitudinal crack, net-shaped crack, pit slot are contrast with that of Sobel operator. The results show that they have the similar capability on the representation of crack, but the proposed method is more flexible on the aspect of representation of crack size and calculation of damage ratio.

Paper Details

Date Published: 2 June 2012
PDF: 4 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340C (2 June 2012); doi: 10.1117/12.946022
Show Author Affiliations
Bei Chen, Northwestern Polytechnical Univ. (China)
Wenlun Cao, Northwestern Polytechnical Univ. (China)
Yuyao He, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

© SPIE. Terms of Use
Back to Top