Image Processing Issues in Digital Strain Mapping
Image Processing Issues in Digital Strain Mapping
复制标题
数字应变映射中的图像处理问题
DOI：
10.1117/12.452334
复制
发表时间：
2002
影响因子：
7.1
通讯作者：
P. Torr
中科院分区：
文献类型：
--
作者：
W. Clocksin;J. Q. D. Fonseca;Philip J. Withers;P. Torr
我们已经开发了高密度图像处理技术，用于从测试台施加力期间拍摄的一系列图像中找到未经处理的材料样品的表面应变。并非所有的运动检测算法都具有适合于此任务的功能特性，因为图像序列的特征在于短距离和长距离位移、非刚性变形以及低信噪比和方法伪影。我们展示了如何基于概率的运动检测算法可以被用作表征材料变形的应变张量的高置信度估计。讨论的一个重要问题是如何最小化需要计算的图像亮度差异的数量。我们从两个研究的材料轴向拉伸的结果：一个样品的铝合金表现出传播的塑性变形，和制备的鹿茸骨，一种天然的复合材料。
We have developed high density image processing techniques for finding the surface strain of an untreated sample of material from a sequence of images taken during the application of force from a test rig. Not all motion detection algorithms have suitable functional characteristics for this task, as image sequences are characterised by both short- and long-range displacements, non-rigid deformations, as well as a low signal-to-noise ratio and methodological artifacts. We show how a probability-based motion detection algorithm can be used as a high confidence estimator of the strain tensor characterising the deformation of the material. An important issue discussed is how to minimise the number of image brightness differences that need to be calculated. We give results from two studies of materials under axial tension: a sample of aluminium alloy exhibiting a propagating plastic deformation, and a preparation of deer antler bone, a natural composite material.