Sealed-Crack Detection Algorithm Using Heuristic Thresholding Approach

Author:

Kamaliardakani Mojtaba1,Sun Lu2,Ardakani Mostafa K.3

Affiliation:

1. Ph.D. Candidate, School of Transportation, Southeast Univ., Nanjing, Jiangsu 210096, China (corresponding author).

2. Chair and Professor, Dept. of Civil Engineering, Catholic Univ. of America, Washington, DC 20064; and Professor, School of Transportation, Southeast Univ., Nanjing, Jiangsu 210096, China.

3. Assistant Professor, School of Engineering Technology, State Univ. of New York, Farmingdale, NY 11735; and Researcher, School of Transportation, Southeast Univ., Nanjing, Jiangsu 210096, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference44 articles.

1. Pavement crack classification based on tensor factorization

2. Chen B. Cao W. and He Y. (2012). “Fractal dimension applied in highway surface crack detection.” Proc. Int. Conf. on Digital Image Processing Society of Photo-Optical Instrumentation Engineers Bellingham WA.

3. Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost

4. Eriksson J. Girod L. Hull B. Newton R. Madden S. and Balakrishnan H. (2008). “The pothole patrol: Using a mobile sensor network for road surface monitoring.” Proc. Int. Conf. on Mobile Systems Applications and Services Association for Computing Machinery New York 29–39.

5. Federal Highway Administration (FHWA). (2003). “Distress identification manual for the long-term pavement performance program.” FHWA-RD-03-031 Washington DC.

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