Abstract. With the increase in digital image correlation (DIC) applications, it is an important task to realize the fully automatic measurement and provide an automatic deformation measurement sensor. Keeping this in mind, we propose an automatic speckle region selection method for DIC. This method can be divided into three main steps: initial contour selection, active contour computation, and morphological operation. The sum of modulus of the local intensity gradient vector of the local image is used to determine the initial contour, the active contour computation is driven by improved automatic local Gaussian distribution fitting energy, and the morphological closing operation is finally conducted to achieve better robustness. Experimental results show that the root mean squared error of the localization is less than 0.8260 pixels. We further integrate the proposed method into an open-source DIC software, and the fully automatic deformation analysis is realized. The fully automatic deformation measurement will further widen the application scope of DIC, especially in the field of smart robotics and smart city.

中文翻译：

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用于数字图像相关的自动散斑区域选择

摘要。随着数字图像相关（DIC）应用的增加，实现全自动测量并提供自动变形测量传感器成为一项重要任务。牢记这一点，我们为 DIC 提出了一种自动散斑区域选择方法。该方法可以分为三个主要步骤：初始轮廓选择、活动轮廓计算和形态学操作。利用局部图像的局部强度梯度向量的模数之和确定初始轮廓，主动轮廓计算由改进的自动局部高斯分布拟合能量驱动，最后进行形态学闭合操作以达到更好的鲁棒性。实验结果表明，定位的均方根误差小于0.8260个像素。我们进一步将所提出的方法集成到开源 DIC 软件中，实现了全自动变形分析。全自动变形测量将进一步拓宽DIC的应用范围，尤其是在智能机器人和智慧城市领域。