Position‐Invariant Neural Network for Digital Pavement Crack Analysis

@article{Lee2004PositionInvariantNN,
  title={Position‐Invariant Neural Network for Digital Pavement Crack Analysis},
  author={Byoung Jik Lee and Hosin (David) Lee},
  journal={Computer‐Aided Civil and Infrastructure Engineering},
  year={2004},
  volume={19}
}
  • Byoung Jik LeeH. Lee
  • Published 1 March 2004
  • Computer Science
  • Computer‐Aided Civil and Infrastructure Engineering
Abstract:  This article presents an integrated neural network‐based crack imaging system to classify crack types of digital pavement images. This system includes three neural networks: (1) image‐based neural network, (2) histogram‐based neural network, and (3) proximity‐based neural network. These three neural networks were developed to classify various crack types based on the subimages (crack tiles) rather than crack pixels in digital pavement images. These spatial neural networks were… 

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Crack detection in concrete surfaces using image processing, fuzzy logic, and neural networks

  • G. K. ChoudharyS. Dey
  • Computer Science
    2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)
  • 2012
F fuzzy logic and artificial neural network based models for accurate crack detection on concrete using image processing which incorporates the edge detection technique.
...

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