Automatic detection and classification of defect on road pavement using anisotropy measure

@article{Nguyen2009AutomaticDA,
  title={Automatic detection and classification of defect on road pavement using anisotropy measure},
  author={Tien Sy Nguyen and Manuel Avila and Stephane B{\'e}got},
  journal={2009 17th European Signal Processing Conference},
  year={2009},
  pages={617-621}
}
Existing systems for automated pavement defect detection can only identify cracking type defects. In this paper, we introduce a method which can detect not only cracks as small as 1mm in width, but also two other defect types: joint and bridged. Road images are captured by our acquisition system. Firstly, a pre-processing step is applied on images to remove lane-marking. Then an anisotropy measure is calculated to detect road defects. Finally, a backpropagation neural network is used to… CONTINUE READING
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