Motivated by the low efficiency and poor accuracy of the existing techniques for measuring the depth of a pavement structure, we examine the characteristics of laser speckle and speckle measurement methods in relation to the depth of a pavement structure and propose a set of methods for the 3D measurement of such structures based on laser speckle and digital image processing. First, we analyze the relevant characteristics of laser speckle measurement, and then based on the relevant region and temporal sequence correlation, a faster digital speckle correlation method is used to establish a mathematical relationship between the 3D image and the structural depth. The erosion and dilation technique and mean optimization algorithm are proposed to eliminate the noise and burr of primeval 3D reconstruction. After this, a 3D point cloud of information on the depth of the pavement structure is obtained. Finally, through fitting, a good linear relationship was found between the texture depth obtained by the sand paving method and the system. From measurements using a laboratory calibration platform, it was found that the accuracy of measurement of our method can reach the subpixel level, and the running speed is high, meaning that it can be used for highly efficient and accurate detection of the depth of a road structure.

中文翻译：

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基于优化数字散斑相关法的路面纹理深度三维测量方法

受现有路面结构深度测量技术效率低、精度差的影响，我们研究了激光散斑和散斑测量方法与路面结构深度相关的特性，并提出了一套用于 3D 测量的方法。基于激光散斑和数字图像处理的此类结构的测量。首先，我们分析了激光散斑测量的相关特性，然后基于相关区域和时间序列相关性，采用更快的数字散斑相关方法建立3D图像与结构深度之间的数学关系。提出了腐蚀膨胀技术和均值优化算法来消除原始3D重建的噪声和毛刺。在这之后，获得了路面结构深度信息的 3D 点云。最后，通过拟合，发现铺沙法得到的纹理深度与系统具有良好的线性关系。通过实验室标定平台的测量发现，我们的方法测量精度可以达到亚像素级，并且运行速度高，可以用于道路深度的高效准确检测。结构体。