| Title | Automated analysis and detection of cracks in underground scanned pipes |
| Publication Type | Conference Paper |
| Year of Publication | 1999 |
| Authors | Fieguth, P., and S. K. Sinha |
| Conference Name | International Conference on Image Processing |
| Keywords | CCTV, civil engineering computing, closed circuit television, crack analysis, Crack detection, Feature Extraction, image classification, image recognition, maintenance engineering, pipe defects, preventive maintenance, underground pipe structural integrity, underground scanned pipes, video images, video signal processing |
| Abstract | Closed circuit television (CCTV) surveys are used widely in North America to assess the structural integrity of underground pipes. The video images are examined visually and classified into grades according to degrees of damage. The human eye is extremely effective at recognition and classification, but it is not suitable for assessing pipe defects in thousands of miles of pipeline images due to fatigue, subjectivity and cost. This paper presents ongoing research into the automatic assessment of the structural condition of underground pipes for the purpose of preventive maintenance by municipalities |
| DOI | 10.1109/ICIP.1999.819622 |
