Pavement Crack Recognition Algorithm Based on Multi-Scale Shape Feature and BP Neural Network

Author:

Li Yunchao111,Xu Zhigang111,Jiang Zijun111

Affiliation:

1. School of Information and Engineering, Chang’an Univ., Xi’an, China.

Publisher

American Society of Civil Engineers

Reference16 articles.

1. Video image distress analysis technique for Idaho transportation department pavement management system;Baker J.;Transportation Research Record,1987

2. Cafiso S. Di Graziano A. and Battiato S. (2006). "Evaluation of Pavement Surface Distress Using Digital Image Collection And Analysis." Seventh International Congress on Advances in Civil Engineering Yildiz Technical University Istanbul Turkey.

3. Automatic pavement distress detection system;Cheng H. D.;Journal of Information Sciences,1998

4. Research on Feature Extraction Method of Damaged Image of Asphalt Pavement;Chu J.;Chinese Journal of Image and Graphics, Series A,2003

5. Research on Image Segmentation Method of Asphalt Pavement Damage;Chu X.;China Journal of Highway and Transport,2003

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