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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

A New Image-Based Model For Predicting Cracks In Sewer Pipes

Author 1: Iraky Khalifa Author 2: Amal Elsayed Aboutabl Author 3: Gamal Sayed AbdelAziz Barakat
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 12 · Published 2013 · Cited by 11

DOI: https://doi.org/10.14569/IJACSA.2013.041210

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Abstract

Visual inspection by a human operator has been mostly used up till now to detect cracks in sewer pipes. In this paper, we address the problem of automated detection of such cracks. We propose a model which detects crack fractures that may occur in weak areas of a network of pipes. The model also predicts the level of dangerousness of the detected cracks among five crack levels. We evaluate our results by comparing them with those obtained by using the Canny algorithm. The accuracy percentage of this model exceeds 90% and outperforms other approaches.

Keywords

Visual inspection Sewer pipes Canny algorithm Crack detection

How to Cite this Article

Khalifa, I., Aboutabl, A. E., & Barakat, G. S. A. (2013). A New Image-Based Model For Predicting Cracks In Sewer Pipes. International Journal of Advanced Computer Science and Applications, 4(12). https://doi.org/10.14569/IJACSA.2013.041210

Khalifa, Iraky, et al.. "A New Image-Based Model For Predicting Cracks In Sewer Pipes." International Journal of Advanced Computer Science and Applications, vol. 4, no. 12, 2013, https://doi.org/10.14569/IJACSA.2013.041210.

@article{Khalifa2013,
  title     = {A New Image-Based Model For Predicting Cracks In Sewer Pipes},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {12},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Iraky Khalifa and Amal Elsayed Aboutabl and Gamal Sayed AbdelAziz Barakat},
  doi       = {10.14569/IJACSA.2013.041210},
  url       = {https://doi.org/10.14569/IJACSA.2013.041210}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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