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2 June 2012 An advanced algorithm for highway pavement fissure detection
Bei Chen, Wenlun Cao, Yuyao He
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83340C (2012) https://doi.org/10.1117/12.946022
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
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.
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Bei Chen, Wenlun Cao, and Yuyao He "An advanced algorithm for highway pavement fissure detection", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340C (2 June 2012); https://doi.org/10.1117/12.946022
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KEYWORDS
Fractal analysis
Detection and tracking algorithms
Digital filtering
Image processing
Image filtering
MATLAB
3D image processing
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