Automated Detection and Quantification of Drainage Pipe Cracks in Closed-Circuit Television (CCTV) Images
Author:
Affiliation:
1. College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou, China.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485477.023
Reference18 articles.
1. MHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). (2017). Statistical Yearbook of Urban Construction.
2. Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques
3. A survey on image-based automation of CCTV and SSET sewer inspections;Haurum J. B.;Automation in Construction,2020
4. Automated defect detection in sewer closed circuit television images using histograms of oriented gradients and support vector machine
5. A morphological approach to pipe image interpretation based on segmentation by support vector machine
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