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Minimum Mean Square Error Approach in Images Processing for Full-field Displacements and Deformation Measurements

机译:全场位移和变形测量的图像处理中的最小均方误差方法

摘要

A vision system is applied to full-field displacements and deformation measurements in solidmechanics. A speckle like pattern is preliminary formed on the surface under investigation. To determinedisplacements field of one speckle image with respect to a reference speckle image, sub-images, referred toZones Of Interest (ZOI) are considered. The field is obtained by matching a ZOI in the reference image with therespective ZOI in the moved image. Two image processing techniques are used for implementing the matchingprocedure: – cross correlation function and minimum mean square error (MMSE) of the ZOI intensity distribution.The two algorithms are compared and the influence of the ZOI size on the accuracy of measurements is studied.
机译:视觉系统应用于固体力学中的全场位移和变形测量。在所研究的表面上初步形成斑点状图案。对于一个散斑图像相对于参考散斑图像的确定位移场,考虑了被称为“关注区域”(ZOI)的子图像。该场是通过将参考图像中的ZOI与运动图像中的相应ZOI进行匹配而获得的。两种图像处理技术用于实现匹配过程:–互相关函数和ZOI强度分布的最小均方误差(MMSE)。比较了这两种算法,并研究了ZOI大小对测量精度的影响。

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