Abstract
Pavement distress, the various defects such as holes and cracks, represent a significant engineering and economic concern. This paper based on Beamlet algorithm using MATLAB software to process the pavement crack images and classify the different cracks into four types: horizontal, vertical, alligator, and block types. Experiment results show that the proposed method can effectively detect and classify of the pavement cracks with a high success rate, in which transverse crack and longitudinal crack detection rate reach to 100%, and alligator crack and block crack reach more than 85%.
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CITATION STYLE
Ouyang, A., Dong, Q., Wang, Y., & Liu, Y. (2014). The classification of pavement crack image based on beamlet algorithm. In IFIP Advances in Information and Communication Technology (Vol. 420, pp. 129–137). Springer New York LLC. https://doi.org/10.1007/978-3-642-54341-8_13
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