A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Computer Vision Techniques for Inspection of Pipes
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, time and cost. The paper presents a system for the application of computer vision techniques to the automatic assessment of the structural condition of underground pipes from scanned images. Automatic recognition of various pipe defects is of considerable interest since it solves problems of fatigue, subjectivity, and ambiguity, leading to economic benefits. The proposed system could overcome many of the limitations of the current CCTV surveys, and can provide a more accurate assessment of underground pipe conditions.
Computer Vision Techniques for Inspection of Pipes
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, time and cost. The paper presents a system for the application of computer vision techniques to the automatic assessment of the structural condition of underground pipes from scanned images. Automatic recognition of various pipe defects is of considerable interest since it solves problems of fatigue, subjectivity, and ambiguity, leading to economic benefits. The proposed system could overcome many of the limitations of the current CCTV surveys, and can provide a more accurate assessment of underground pipe conditions.
Computer Vision Techniques for Inspection of Pipes
Sinha, S. K. (author) / Fieguth, P. W. (author) / Polak, M. A. (author)
Eighth International Conference on Computing in Civil and Building Engineering (ICCCBE-VIII) ; 2000 ; Stanford, California, United States
2000-08-04
Conference paper
Electronic Resource
English
Computer Vision Techniques for Inspection of Pipes
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