混凝土表面构造特征图像测量法研究
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摘要
为了更加方便准确地测量水泥混凝土表面构造特征,依托广东省汕头-湛江高速公路(简称汕湛高速),借助数字图像处理技术实现了现场快速取样、后期计算分析,研究了在测量过程中光照强度、拍摄角度和距离、图像处理计算法则及混凝土表面整洁度等因素对测量结果的影响。结果表明:对拍摄的初始图像进行混凝土表面构造特征识别之前应先进行滤波去噪处理;当拍摄角度为正面拍摄时,拍摄距离对灰度值测量结果影响较小;随着光照强度的增大灰度值整体呈现先增加后减小趋势;混凝土表面杂物会反映在所拍摄图像上,从而对混凝土表面构造特征的判断造成干扰,因此在测量过程中应通过试验选择合适的光照强度,并在整个测量过程中保持稳定,同时要保证被测混凝土表面整洁。
In order to provide more convenient and accurate measurements of characteristics of concrete surface structure,based on the data of Shantou-Zhanjiang expressway in Guangdong province,rapid sampling by means of digital image processing technology and analysis and calculation in late stage was realized.And the influences of illumination,shooting angle and distance,image processing calculation rule and the cleanliness of concrete surface on the measurement results were also studied.The results show that filtering and denoising should be carried out before the surface structure characteristics of the concrete's initial image are identified.When shooting angle is frontal,shooting distance has little effect on the gray value.With the increase of illumination,the gray value increases first and then decreases.Debris on the surface of concrete will be reflected on the image,thus interfering with the judgement of the characteristics of concrete surface structure.Therefore,the appropriate illumination should be selected through experiments,and maintain stability throughout the process.At the same time,the surface of the measured concrete should be kept clean.
In order to provide more convenient and accurate measurements of characteristics of concrete surface structure,based on the data of Shantou-Zhanjiang expressway in Guangdong province,rapid sampling by means of digital image processing technology and analysis and calculation in late stage was realized.And the influences of illumination,shooting angle and distance,image processing calculation rule and the cleanliness of concrete surface on the measurement results were also studied.The results show that filtering and denoising should be carried out before the surface structure characteristics of the concrete's initial image are identified.When shooting angle is frontal,shooting distance has little effect on the gray value.With the increase of illumination,the gray value increases first and then decreases.Debris on the surface of concrete will be reflected on the image,thus interfering with the judgement of the characteristics of concrete surface structure.Therefore,the appropriate illumination should be selected through experiments,and maintain stability throughout the process.At the same time,the surface of the measured concrete should be kept clean.
引文
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[8]刘琬辰,黄晓明.基于图像处理的沥青路面构造深度评价方法的优化研究[J].北方交通,2013,36(3):9-13.LIU Wanchen,HUANG Xiaoming.Optimizationresearch of the asphalt pavement surface texture evaluation based on digital image[J].Northern Communications,2013,36(3):9-13.
[9]赵高长,张磊,武风波.改进的中值滤波算法在图像去噪中的应用[J].应用光学,2011,32(4):678-682.ZHAO Gaochang,ZHANG Lei,WU Fengbo.Application of improved median filtering algorithm to image de-noising[J].Journal of Applied Optics,2011,32(4):678-682.
[2]罗利波.水泥复合砂浆钢筋网应用于抗剪加固钢筋混凝土梁技术[J].混凝土,2013(7):141-143.LUO Libo.Construction technologies of strengthening reinforced concrete beams with composite mortar laminate reinforced with mesh reinforcement to improve the shear capacity[J].Concrete,2013(7):141-143.
[3]龙凌霄.高性能复合砂浆钢筋网加固RC梁受弯承载力研究[D].长沙:湖南大学,2005.LONG Linxiao.Experimental Study on Flexural Behavior of Reinforced Concrete Beams Strengthened with Ferrocement[D].Changsha:Hunna Universiyty,2005.
[4]郭进军,张雷顺,蔺新艳.混凝土表面粗糙度评测新方法[J].工业建筑,2003,33(6):52-54.GUO Jinjun,ZHANG Leishun,LIN Xinyan.New method of evaluation and measurement of concrete surface roughness[J].Industrial Construction,2003,33(6):52-54.
[5]赵志方,赵国藩.采用高压水射法处理新老混凝土粘结面的试验研究[J].大连理工大学学报,1999,39(4):558-561.ZHAO Zhifang,ZHAO Guofan.Experimental study on bonding of new and old concrete with high pressure water jet method[J].Journal of Dalian University of Technology,1999,39(4):558-561.
[6]林娜,尹健,张雄,等.分形理论在新-老混凝土粘结强度研究中的应用[J].建筑材料学报,2006,9(4):399-403.LIN Na,YIN Jian,ZHANG Xiong,et al.Application of fractal theory to study interfacial bond strength of old-new concrete[J].Journal of Building Materials,2006,9(4):399-403.
[7]王端宜,李维杰,张肖宁.用数字图像技术评价和测量沥青路表面构造深度[J].华南理工大学学报(自然科学版),2004,32(2):42-45.WANG Duanyi,LI Weijie,ZHANG Xiaoning.Evaluation and measurement of asphalt pavement surface texture depth with digital image technique[J].Journal of South China University of Technology(Natural Science Edition),2004,32(2):42-45.
[8]刘琬辰,黄晓明.基于图像处理的沥青路面构造深度评价方法的优化研究[J].北方交通,2013,36(3):9-13.LIU Wanchen,HUANG Xiaoming.Optimizationresearch of the asphalt pavement surface texture evaluation based on digital image[J].Northern Communications,2013,36(3):9-13.
[9]赵高长,张磊,武风波.改进的中值滤波算法在图像去噪中的应用[J].应用光学,2011,32(4):678-682.ZHAO Gaochang,ZHANG Lei,WU Fengbo.Application of improved median filtering algorithm to image de-noising[J].Journal of Applied Optics,2011,32(4):678-682.
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