Chapter
Apr 26, 2012
Mathematical Morphology Based Asphalt Pavement Crack Detection
Authors: Na Wei [email protected], Xiangmo Zhao, Tao Wang, and Hongxun SongAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Conventional visual and manual analysis approaches to pavement crack detection are costly, time-consuming, labor-intensive, and subjective. This paper proposed a scheme of automated detection of asphalt pavement surface images. Image enhancement based on mathematical morphologic operations was first performed, then the image is segmented based on the threshold method. The main idea of the proposed image segmentation method is that the threshold values of gray-level pavement images are strongly related with the values of the mean and standard deviation of the pixel intensities. The experimental results have demonstrated that the proposed approach can determine the threshold values accurately and quickly.
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© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Asphalt pavements
- Automation and robotics
- Business management
- Continuum mechanics
- Cracking
- Employment
- Engineering fundamentals
- Engineering mechanics
- Fracture mechanics
- Gravels
- Infrastructure
- Labor
- Mathematics
- Pavement condition
- Pavements
- Personnel management
- Practice and Profession
- Solid mechanics
- Systems engineering
- Transportation engineering
Authors
Affiliations
College of Information engineering, Chang'an University, Xi'an, Shaanxi, 710064, China. E-mail: [email protected]
Xiangmo Zhao
College of Information engineering, Chang'an University, Xi'an, Shaanxi, 710064, China
Tao Wang
Engineering College of Armed Police Force, Xi'an, Shaanxi 710086, China.
Hongxun Song
College of Information engineering, Chang'an University, Xi'an, Shaanxi, 710064, China
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.