A New Image-Based Model For Predicting Cracks In Sewer Pipes
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 12
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.
Authors and Affiliations
Iraky Khalifa, Amal Aboutabl, Gamal AbdelAziz Barakat
Keywords
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- EP ID EP157527
- DOI 10.14569/IJACSA.2013.041210
- Views 73
- Downloads 0
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