基于图像处理方法的混凝土检测方法
[1] 杨松, 邵龙潭, 郭晓霞, 等.基于骨架和分形的混凝土裂缝图像识别算法 [J].仪器仪表学报, 2012, 33(8): 1850-1855.
YANG S, SHAO L T, GUO X X, et al. Skeleton and fractal law based image recognition algorithm for concrete crack [J]. Chinese Journal of Scientific Instrument, 2012, 33(8): 1850-1855. (in Chinese)
[2] 徐爱华, 皋军.结合图像增强和数学形态学的水泥混凝土路面裂缝识别方法[J].公路, 2015(10): 55-58.
XU A H, GAO J. Crack identification method for cement pavement based on image enhancement and mathematical morphology [J]. Highway, 2015(10): 55-58.(in Chinese)
[3] 刘清元, 谈桥.基于图像处理的混凝土裂缝的检测 [J].武汉理工大学学报, 2005, 27(4): 69-71.
LIU Q Y, TAN Q. Concrete crack detection based on image processing [J]. Journal of Wuhan University of Technology, 2005, 27(4): 69-71. (in Chinese)
[4] 肖利芳, 周道洋.Sobel算子改进边缘检测算法在混凝土裂缝识别中的应用 [J].软件导刊, 2017, 16(1): 112-114.
XIAO L F, ZHOU D Y. Application of Sobel operator improved edge detection algorithm in concrete crack identification [J]. Software Guide, 2017, 16(1): 112-114. (in Chinese)
[5] 阮小丽, 王波, 荆国强, 等.桥梁混凝土结构表面裂缝自动识别技术研究 [J].世界桥梁, 2017, 45(6): 55-59.
RUAN X L, WANG B, JING G Q, et al. Study of automatic identification technology for surface cracks in bridge concrete structures [J]. World Bridges, 2017, 45(6): 55-59. (in Chinese)
[6] 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 J, CAO L F, ZENG Y X, et al. Study on feature extraction of concrete structure cracks [J]. Journal of Wuhan University of Technology, 2011, 33(11): 72-75. (in Chinese)
[7] 郭全民, 张海先.基于图像处理技术的混凝土路面裂缝检测方法 [J].传感器与微系统, 2013, 32(4): 61-64.
GUO Q N, ZHANG H X. Crack detection method for concrete pavement based on image processing technique [J]. Transducer and Microsystem Technologies, 2013, 32(4): 61-64. (in Chinese)
[8] 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 Z, PENG H T. 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. (in Chinese)
[9] 查旭东, 王文强.基于图像处理技术的连续配筋混凝土路面裂缝宽度检测方法 [J].长沙理工大学学报: 自然科学版, 2007, 4(1): 13-17.
ZHA X D, WANG W Q. The testing method of crack width for continuously reinforced concrete pavement based on image processing technique [J]. Journal of Changsha University of Science and Technology: Natural Science, 2007, 4(1): 13-17. (in Chinese)
[10] 朱力强, 白彪, 王耀东, 等.基于特征分析的地铁隧道裂缝识别算法 [J].铁道学报, 2015, 37(5): 64-70.
ZHU L Q, BAI B, WANG Y D, et al. Subway tunnel crack identification algorithm based on feature analysis [J]. Journal of the China Railway Society, 2015, 37(5): 64-70. (in Chinese)
[11] 王冲, 王葆茜.沥青混凝土路面裂缝自动识别方法研究 [J].中外公路, 2013, 33(6): 51-55.
WANG C, WANG B X. Research on automatic identification method of asphalt concrete pavement cracks [J]. Journal of China & Foreign Highway, 2013, 33(6): 51-55. (in Chinese)
[12] 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 X J, ZHANG X N. Crack detection of concrete bridges based digital image [J]. Journal of Hunan University: Natural Sciences, 2013, 40(7): 34-40. (in Chinese)
[13] 韩晓健, 赵志成.基于计算机视觉技术的结构表面裂缝检测方法研究 [J].建筑结构学报, 2018, 39(S1): 418-427.
HAN X J, ZHAO Z C. Structural surface crack detection method based on computer vision technology [J]. Journal of Building Structures, 2018, 39(S1): 418-427. (in Chinese)
[14] 丁杨, 周双喜, 董晶亮, 等.人工智能方法在土木工程监测中的运用 [J].材料导报, 2019, 33(S1): 274-277.
DING Y, ZHOU S X, DONG J L, et al. Application comparison of artificial intelligence method in civil engineering monitoring [J]. Materials Review, 2019, 33(S1): 274-277. (in Chinese)
[15] 周建, 段中兴, 陈胜, 等.隧道裂缝自动识别性能影响因素的研究 [J].公路, 2016, 61(5): 216-222.
ZHOU J, DUAN Z X, CHEN S, et al. Study of factors affecting automatic detection performance of cracks in tunnel [J]. Highway, 2016, 61(5): 216-222. (in Chinese)
[16] 于泳波, 李万恒, 张劲泉, 等.基于图像连通域的桥梁裂缝提取方法 [J].公路交通科技, 2011, 28(7): 90-93.
YU Y B, LI W H, ZHANG J Q, et al. Bridge cracks extraction method based on image connected domain [J]. Journal of Highway and Transportation Research and Development, 2011, 28(7): 90-93. (in Chinese)
[17] 耿飞, 解建光, 钱春香.图像分析技术对混凝土裂缝的定量评价[J].混凝土, 2005(5): 78-80, 87, 94.
GENG F, XIE J G, QIAN C X. Image analysis technique for quantitative evaluation of cracks in concrete [J]. Concrete, 2005(5): 78-80, 87, 94. (in Chinese)
[18] 周传林.图像处理技术在混凝土桥梁裂缝检测中的应用研究 [J].筑路机械与施工机械化, 2014, 31(2): 74-77, 80.
ZHOU C L. Research on application of image processing technology in concrete bridge crack detection [J]. Road Machinery & Construction Mechanization, 2014, 31(2): 74-77, 80. (in Chinese)
[19] 彭博, 蒋阳升.路面裂缝图像识别算法研究进展 [J].中外公路, 2013, 33(6): 42-50.
PENG B, JIANG Y S. Research progress of pavement crack image recognition algorithm [J]. Journal of China & Foreign Highway, 2013, 33(6): 42-50. (in Chinese)
陈建立. 基于图像处理方法的混凝土检测方法[J]. 液晶与显示, 2020, 35(4): 395. CHEN Jian-li. Concrete detection method based on image processing[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(4): 395.