[1] 杨杰文,章光,陈西江,等.融合深度学习聚类分割和形态学的混凝土表面裂缝量化识别[J].激光与光电子学进展,2020,57(22):1-11.
YANG Jiewen, ZHANG Guang, CHEN Xijiang, et al. Quantitative identification of concrete surface cracks based on deep learning clustering segmentation and morphology [J]. Laser & Optoelectronics Progress, 2020,57(22):1-11.
[2] KANG Dongho, BENIPAL S S, GOPAL D L, et al. Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning [J]. Automation in Construction, 2020, 118.
[3] 李可心,王钧,戚大伟.基于G-S-G的混凝土结构裂缝识别及监测方法[J].振动与冲击,2020,39(11):101-108.
LI Kexin, WANG Jun, QI Dawei. Research on crack identification and monitoring method of concrete structure based on G-S-G [J]. Journal of Vibration and Shock,2020,39(11):101-108.
[4] 许莹. 多因素作用下的大体积混凝土裂缝产生原因及控制机理研究[D]. 淮南:安徽理工大学,2017.
XU Ying. Study on the Causes and Control Mechanism of Cracks in Mass Concrete under the Influence of Multi Factors [D]. Huainan: Anhui University of Science & Technology, 2017.
[5] FU Ronghua, XU Hao, WANG Zijian, et al. Enhanced intelligent identi-fication of concrete cracks using multi-layered image preprocessing-aided convolutional neural networks [J]. Sensors, 2020, 20(7): 2021.
[6] TIAN Furui, ZHAO Ying, CHE Xiangqian, et al. Concrete crack identi-fication and image mosaic based on image processing [J]. Applied Sciences, 2019,9(22):4826.
[7] 倪彤元,张武毅,杨杨,等.基于图像处理的桥梁混凝土裂缝检测研究进展[J].城市道桥与防洪,2019(7):258-263.
NI Tongyuan, ZHANG Wuyi, YANG Yang, et al. Research progress of bridge concrete crack detection based on image processing technology [J]. Urban Roads Bridges and Flood Control, 2019(7): 258-263.
[8] 占继刚. 基于图像处理的桥梁底面裂缝检测识别方法研究[D]. 北京:北京交通大学,2017.
ZHAN Jigang. Study on the Bridge Bottom Crack Inspection and Recognition Method Based on Image Processing [D]. Beijing: Beijing Jiaotong University, 2017.
[9] YAO Yao, TUNG S-T E, BRANKO G. Crack detection and characterization techniques—An overview[J]. Structural Control and Health Monitoring, 2014, 21(12): 1387-1413.
[10] 王伟,何小元,肖建强.基于裂缝测试仪的图像测量技术[J].光学与光电技术,2008,6(5):45-48.
WANG Wei, HE Xiaoyuan, XIAO Jianqiang. Measurement research of image based on crack test instrument [J]. Optics and Optoelectronic Technology, 2008, 6(5): 45-48.
[11] 瞿中.基于图像处理的裂缝检测技术[M].北京:科学出版社,2016.
QU Zhong. Crack Detection Technology Based on Image Processing [M]. Beijing: Science Press, 2016.
[12] 亓大鹏.地铁隧道图像数据分析系统[D].北京:北京交通大学,2016.
QI Dapeng. Analysis System for Subway Tunnel Image [D]. Beijing: Beijing Jiaotong University, 2016.
[13] TONG Xuhang, GUO Jie, LING Yun, et al. A new image-based method for concrete bridge bottom crack detection [C]∥2011 International Conference on Image Analysis and Signal Processing. New York: IEEE, 2011:568- 571.
[14] XU Bing, YIN Guansheng, LIU Xiaowei. A technology based on image processing for the bridge crack measurement [J]. Applied Mechanics and Materials, 2011,138/139: 569-574.
[15] 方志,彭海涛.基于图像分析技术的混凝土桥梁结构表面裂缝宽度检测[J].湖南大学学报:自然科学版,2012,39(1): 7-12.
FANG Zhi, PENG Haitao. Crack width detection on the concrete surface of bridge based on image analysis technology[J]. Journal of Hunan University: Natural Sciences, 2012, 39(1): 7-12.
[16] 刘娜,宋伟东,赵泉华.形态学和最大熵图像分割的城市路面裂缝检测[J].辽宁工程技术大学学报(自然科学版),2015,34(1): 57-61.
LIU Na, SONG Weidong, ZHAO Quanhua. Morphology and maximum entropy image segmentation based urban pavement cracks detection [J]. Journal of Liaoning Technical University: Natural Science Edition, 2015, 34(1): 57-61.
[17] QU Zhong, LIN Lidan,GUO Yang, et al. An improved algorithm for image crack detection based on percolation model [J]. IEEJ Transactions on Electrical and Electronic Engineering, 2015, 10(2): 214-221.
[18] 卫军,曹龙飞,曾艳霞,等.混凝土结构裂缝特征提取研究[J].武汉理工大学学报, 2011, 33(11): 72-75.
WEI Jun, CAO Longfei, ZENG Yanxia, et al. Study on feature extrac-tion of concrete structure cracks [J]. Journal of Wuhan University of Technology, 2011, 33(11): 72-75.
[19] 许薛军,张肖宁.基于数字图像的混凝土桥梁裂缝检测技术[J].湖南大学学报(自然科学版), 2013, 40(7):34 -40.
XU Xuejun, ZHANG Xiaoning. Crack detection of concrete bridges based digital image [J]. Journal of Hunan University (Natural Sciences), 2013, 40(7):34 -40.
[20] OSTUN. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1):62-66.
[21] 张国旗.基于图像处理的混凝土桥梁底面裂缝检测方法的研究[D].北京:北京交通大学,2010.
ZHANG Guoqi. Study on the Concrete Bridge Bottom Crack Inspection Method Based on Image Processing [D]. Beijing: Beijing Jiaotong University, 2010. |