The Classification of Pavement Crack Image Based on Beamlet Algorithm

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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Aiguo Ouyang, Qin Dong, Yaping Wang, Yande Liu. The Classification of Pavement Crack Image Based on Beamlet Algorithm. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.129-137, ⟨10.1007/978-3-642-54341-8_13⟩. ⟨hal-01220821⟩

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