基于几何特征分析的路面裂缝分类算法研究
张采芳, 田岩, 李江. 基于几何特征分析的路面裂缝分类算法研究[J]. 红外与激光工程, 2015, 44(4): 1359.
Zhang Caifang, Tian Yan, Li Jiang. Pavement cracks classification algorithm based on geometry feature analysis[J]. Infrared and Laser Engineering, 2015, 44(4): 1359.
[1] Saar T, Talvik O. Automatic asphalt pavement crack detection and classification using neural networks[C]//12th Biennial Baltic Electronics Conference(BEC), 2010, 345-348.
[2] 李刚, 贺昱曜. 不均匀光照的路面裂缝检测和分类新方法[J]. 光子学报, 2010, 39(8): 1405-1408.
[3] Gavilán M, Balcones D, Marcos O, et al. Adaptive road crack detection system by pavement classification[J]. Sensors, 2011, 11(10), 9628-9657.
[4] Lihao Hong. Pavement information system: detection, classification and evaluation[D]. USA: The University of Toledo, 2009.
[5] Oliveira H, CorreiaP L. Automatic road crack detection and characterization[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(1): 155-168.
[6] 赵轲. 路面裂缝图像自动识别系统研究[D]. 西安: 长安大学, 2009.
Zhao Ke. Research on pavement crack image automatic identification system[D]. Xi′an: Chang′an University, 2009. (in Chinese)
[7] 胡世昆. 基于数字图像处理技术的路面裂缝检测算法研究[D]. 南京: 南京邮电大学, 2012.
Hu Shikun. Research on pavement crack detection algorithom based on digital image processing[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2012. (in Chinese)
[8] 谭东杰, 张安. 方向相关与互信息加权组合多模图像配准方法[J], 红外与激光工程, 2013, 42(3): 836-841.
Tan Dongjie, Zhang An. Multi-model image registration based on weighted orientation correlation and mutual information[J]. Infrared and Laser Engineering, 2013, 42(3): 836-841. (in Chinese)
[9] R C Gonzalez, R E Woods. Digital Image Processing[M]. Beijing: Publishing House of Electronics Industry, 2003.
张采芳, 田岩, 李江. 基于几何特征分析的路面裂缝分类算法研究[J]. 红外与激光工程, 2015, 44(4): 1359. Zhang Caifang, Tian Yan, Li Jiang. Pavement cracks classification algorithm based on geometry feature analysis[J]. Infrared and Laser Engineering, 2015, 44(4): 1359.
PDF全文
