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A motion blur compensation algorithm for 2D DIC measurements of deformable bodies

机译:用于可变形体的2D DIC测量运动模糊补偿算法

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摘要

Digital image correlation (DIC) is a widely adopted optical technique to detect motions and deformations dealing with vision-based systems. Considering DIC dynamic applications, motion blur represents one of the most relevant sources of measurement uncertainty. This paper proposes an innovative approach to compensate the effect of motion blur on images coming from deformable bodies, where the amount of blur (w) varies within the single frame. A subset-based technique is developed to estimate and then remove motion blur for each image region. The algorithm is validated both on synthetic images and experimental data, demonstrating its effectiveness at improving the accuracy of the displacements measured by DIC.
机译:数字图像相关(DIC)是一种广泛采用的光学技术,用于检测处理基于视觉系统的运动和变形。 考虑到DIC动态应用,运动模糊代表最相关的测量来源之一。 本文提出了一种创新的方法来补偿运动模糊对来自可变形体的图像的影响,其中模糊量(W)在单个框架内变化。 开发了一种基于子集技术来估计,然后去除每个图像区域的运动模糊。 在合成图像和实验数据上验证了算法,证明了其有效性,以提高DIC测量的位移的准确性。

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