Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes
@article{Sinha2003ComputerVT, title={Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes}, author={Sunil K. Sinha and Paul W. Fieguth and Maria Anna Polak}, journal={Computer‐Aided Civil and Infrastructure Engineering}, year={2003}, volume={18} }
Pipeline surface defects such as cracks cause major problems for asset managers, particularly when the pipe is buried under the ground. The manual inspection of surface defects in the underground pipes has a number of drawbacks, including subjectivity, varying standards, and high costs. An automatic inspection system using image processing and artificial intelligence techniques can overcome many of these disadvantages and offer asset managers an opportunity to significantly improve quality and…
60 Citations
Sewage Pipeline Fault Detection using Image Processing
- Computer Science2022 6th International Conference on Electronics, Communication and Aerospace Technology
- 2022
This research proposes a ground breaking method for examining the condition of sewage pipes using machine-controlled detection and testing of the location of divergences within the internal structure with the help of Open Source computer vision Library techniques.
Automated Defect Recognition Method by Using Digital Image Processing
- Materials Science
- 2010
As existing infrastructure systems are aged and deteriorated rapidly, state agencies started searching for more advanced ways to maintain their valuable assets to the acceptable level. One of them is…
Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures
- Computer Science
- 2012
Automatic Drainage Pipeline Defect Detection Method Using Handcrafted and Network Features
- Computer Science2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence (ICUSAI)
- 2019
This paper proposes a method to detect pipeline defects automatically, which can improve the efficiency of pipeline maintenance and save cost and reduce dependence on technicians, and enables it to compete with the performance of trained technicians.
Image Based Detection and Inspection of Cracks on Bridge Surface Using an Autonomous Robot [Review]
- Materials Science
- 2015
Crack inspection is an important task in the maintenance of bridge and it is closely related to structural health of bridge. Currently it is done through a very manual procedure, an experienced human…
A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures
- Materials Science
- 2009
Automatic health monitoring and maintenance of civil infrastructure systems is a challenging area of research. Nondestructive evaluation techniques, such as digital image processing, are innovative…
A Novel Crack Detection Approach for Condition Assessment of Structures
- Materials Science
- 2011
Automated health monitoring and maintenance of civil infrastructure systems is an active yet challenging area of research. Current inspection standards require an inspector to travel to a target…
Performance of Image-Based Crack Detection Systems in Concrete Structures
- Computer Science
- 2020
Results showed that the image processing approach detects some surface noises as cracks which is most challenging error in this method, and targeting approach has shown weakness in determining the exact location of cracks.
Non-contact ultrasonic sensor and state-of-the-art camera for automated pipe inspection
- Materials ScienceProceedings of IEEE Sensors 2003 (IEEE Cat. No.03CH37498)
- 2003
The United States is critically dependent on natural gas, petroleum liquids, water and sewer transported through pipelines. The infrastructure that currently transports these resources is aging, with…
Crack detection in concrete surfaces using image processing, fuzzy logic, and neural networks
- Computer Science2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)
- 2012
F fuzzy logic and artificial neural network based models for accurate crack detection on concrete using image processing which incorporates the edge detection technique.
References
SHOWING 1-10 OF 67 REFERENCES
AUTOMATED UNDERGROUND PIPE CONDITION ASSESSMENT BY IMAGE ANALYSIS OF THE STATE-OF-THE-ART SEWER SCANNER AND EVALUATION TECHNOLOGY SURVEYS
- Engineering
- 1999
Closed Circuit Television (CCTV) surveys are used widely in North America to assess the structural integrity of sewage pipes. The video images are examined visually, and classified into grades…
Automated analysis and detection of cracks in underground scanned pipes
- EngineeringProceedings 1999 International Conference on Image Processing (Cat. 99CH36348)
- 1999
This paper presents ongoing research into the automatic assessment of the structural condition of underground pipes for the purpose of preventive maintenance by municipalities.
A neural network-based methodology for pavement crack detection and classification
- Computer Science
- 1993
Primitive-Based Classification of Pavement Cracking Images
- Computer Science
- 1993
An approach for the automated classificaton of asphalt pavement distresses recorded on video or photographic film is presented and algorithms for image enhancement, segmentation, and distress classification are developed.
NONCONTACT PAVEMENT CRACK DETECTION SYSTEM
- Computer Science
- 1991
A system has been developed for the Texas State Department of Highways and Public Transportation for automated crack identification with lasers as the primary sensors and can provide real time measurements and reporting at normal highway driving speeds.
New Prospects in Line Detection by Dynamic Programming
- MathematicsIEEE Trans. Pattern Anal. Mach. Intell.
- 1996
The authors present herein a mathematical formalization of the F* algorithm, which allows them to extend the cost both to cliques of more than two points, and to neighborhoods of size larger than one (to take into account the curvature).
Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique☆
- Computer Science
- 1981
ARIA (TRADEMARK): AN OPERATING SYSTEM OF PAVEMENT DISTRESS DIAGNOSIS BY IMAGE PROCESSING
- Computer Science
- 1991
The ARIA (Trademark) image processing technology is accurate, consistent, and reliable, and may be used on any type of concrete or asphalt pavement.
An Active Testing Model for Tracking Roads in Satellite Images
- MathematicsIEEE Trans. Pattern Anal. Mach. Intell.
- 1996
A new approach for tracking roads from satellite images, and thereby illustrate a general computational strategy for tracking 1D structures and other recognition tasks in computer vision, related to recent work in active vision and motivated by the "divide-and-conquer" strategy of parlour games.