Classification of underground pipe scanned images using feature extraction and neuro-fuzzy algorithm

@article{Sinha2002ClassificationOU,
  title={Classification of underground pipe scanned images using feature extraction and neuro-fuzzy algorithm},
  author={Sunil K. Sinha and Fakhri Karray},
  journal={IEEE transactions on neural networks},
  year={2002},
  volume={13 2},
  pages={393-401}
}
Pipeline surface defects such as holes and cracks cause major problems for utility managers, particularly when the pipeline is buried under the ground. Manual inspection for surface defects in the pipeline has a number of drawbacks, including subjectivity, varying standards, and high costs. Automatic inspection system using image processing and artificial intelligence techniques can overcome many of these disadvantages and offer utility managers an opportunity to significantly improve quality… CONTINUE READING
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