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[3]赵宝平.国内外公路养护技术分析研究印交通运输研究,2005(5)99103 4]徐欢,李振璧,姜媛媛,eta.基于 OpencⅤ和改进Cany算子的路面裂缝检测门计算机 工程与设计,2014(12)4254-4258 朱鑫,漆泰岳,王睿,等.一种改进的用于裂缝图像分割的Osu方法门地下空间与工程 学报,2017,13(1).80-84 [6]Sun L, Kamaliardakani M, Zhang Y. Weighted Neighborhood Pixels Segmentation Method fo Automated Detection of Cracks on Pavement Surface Images J] Journal of Computing in Civil Engineering,2015,30(2):04015021 [7Li W, Huyan J, Tighe S L, et al. An innovative Primary Surface Profile-based three-dimensional pavement distress data filtering approach for optical instruments and tilted pavement model-related noise reduction[J]. Road Materials and Pavement Design, 2017: 1-19 [ 8]Li W, Huyan J, Tighe S L. Pavement Cracking Detection Based on Three-Dimensional Data Using Improved Active Contour Model!]. Transportation Engineering, Part B: Pavements, 2018 14(2)04018006 [9]Li W, Huyan J, Tighe S L, et al. Three-Dimensional Pavement Crack Detection Algorithm Based on Two-Dimensional Empirical Mode Decomposition[J]. Transportation Engineering, Part B: Pavements,2017,143(2)04017005 [10] Krizhevsky A, Sutskever I, Hinton G E Image Net classification with deep convolutional [II] He K, Zhang X, Ren S, et al. Deep Residual Learning for Image Recognition([J]. 20(012 neural networks C)/ International Conference on Neural Information Processing Systems. 201 [12] Noh H, Hong S, Han B. Learning Deconvolution Network for Semantic Segmentation(cyl IEEE International Conference on Computer Vision 2015 [13] Long J, Shelhamer E, Darrell T. Fully Convolutional Networks for Semantic Segmentation J]. IEEE Transactions on Pattern Analysis Machine Intelligence, 2014 39(4)640-651 [14]Lei Z, Fan Y, Zhang Y D, et al. Road crack detection using deep convolutional neural network(C)/ IEEE International Conference on Image Processing. 2016 作者简介: 李伟:男,博士后,长安大学信息工程学院副教授。邮箱: hd@foxmaiI.com 申浩:男,长安大学信息工程学院硕士研究生。邮箱:shen8927@foxmail.com 马志丹,女,长安大学信息工程学院硕士研究生,邮箱:zhidan.ma@foxmail.com 孙朝云,女,长安大学信息工程学院教授,邮箱:zhaoyunsun@126.com 呼延菊,女,加拿大滑铁卢大学博士研究生,郾箱: ju huyan@ out look.cm[3] 赵宝平. 国内外公路养护技术分析研究[J]. 交通运输研究, 2005(5):99-103. [4] 徐欢, 李振璧, 姜媛媛, et al. 基于OpenCV和改进Canny算子的路面裂缝检测[J]. 计算机 工程与设计, 2014(12):4254-4258. [5] 朱鑫, 漆泰岳, 王睿,等. 一种改进的用于裂缝图像分割的Otsu方法[J]. 地下空间与工程 学报, 2017, 13(s1):80-84. [6] Sun L, Kamaliardakani M, Zhang Y. Weighted Neighborhood Pixels Segmentation Method for Automated Detection of Cracks on Pavement Surface Images[J]. Journal of Computing in Civil Engineering, 2015, 30(2):04015021. [7] Li W, Huyan J, Tighe S L, et al. An innovative Primary Surface Profile-based three-dimensional pavement distress data filtering approach for optical instruments and tilted pavement model-related noise reduction[J]. Road Materials and Pavement Design, 2017:1-19. [8] Li W, Huyan J, Tighe S L. Pavement Cracking Detection Based on Three-Dimensional Data Using Improved Active Contour Model[J]. Transportation Engineering, Part B: Pavements, 2018, 144(2):04018006. [9] Li W, Huyan J, Tighe S L, et al. Three-Dimensional Pavement Crack Detection Algorithm Based on Two-Dimensional Empirical Mode Decomposition[J]. Transportation Engineering, Part B: Pavements, 2017, 143(2):04017005 [10] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]// International Conference on Neural Information Processing Systems. 2012. [11] He K, Zhang X, Ren S, et al. Deep Residual Learning for Image Recognition[J]. 2015. [12] Noh H, Hong S, Han B. Learning Deconvolution Network for Semantic Segmentation[C]// IEEE International Conference on Computer Vision. 2015. [13] Long J , Shelhamer E , Darrell T . Fully Convolutional Networks for Semantic Segmentation[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2014, 39(4):640-651. [14] Lei Z, Fan Y, Zhang Y D, et al. Road crack detection using deep convolutional neural network[C]// IEEE International Conference on Image Processing. 2016. 作者简介: 李伟:男,博士后,长安大学信息工程学院副教授。邮箱:wei.li_chd@foxmail.com 申浩:男,长安大学信息工程学院硕士研究生。邮箱:shen8927@foxmail.com 马志丹,女,长安大学信息工程学院硕士研究生,邮箱:zhidan.ma@foxmail.com 孙朝云,女,长安大学信息工程学院教授,邮箱:zhaoyunsun@126.com 呼延菊,女,加拿大滑铁卢大学博士研究生,邮箱:ju_huyan@outlook.com
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