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Uneven intensity change correction of speckle images using morphological Top-Hat transform in digital image correlation

机译:在数字图像相关中使用形态学Top-Hat变换对斑点图像进行不均匀的强度变化校正

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摘要

By comparing two digital speckle images recorded before and after deformation, two-dimensional digital image correlation (DIC) method can accurately determine the in-plane displacement fields and strain fields. In a practical measurement, however, the variance of light source intensity, location and direction will cause the random uneven intensity change of the random speckle images and will lead to the obvious measurement error. Numerical simulation experiment is first carried out to analyse the influence of the recorded speckle images undergoing uneven light variation on DIC measurement accuracy. Then, a correction method for speckle images with uneven intensity change is proposed based on morphological Top-Hat transform. In addition, quantitative measurements of both in-plane rotation of a rigid body and three-point bending beam are investigated experimentally by DIC to verify the feasibility of the correction method. Experimental results show that the measurement accuracy of DIC is improved dramatically after the procedure of uneven light variation correction.
机译:通过比较变形前后记录的两个数字散斑图像,二维数字图像相关(DIC)方法可以准确地确定面内位移场和应变场。然而,在实际测量中,光源强度,位置和方向的变化会引起随机散斑图像的强度不均匀随机变化,并导致明显的测量误差。首先进行了数值模拟实验,以分析记录的散斑图像在光线变化不均匀时对DIC测量精度的影响。然后,提出了一种基于形态学Top-Hat变换的强度变化不均匀的斑点图像校正方法。另外,通过DIC实验研究了刚体和三点弯曲梁的面内旋转的定量测量,以验证校正方法的可行性。实验结果表明,经过不均匀光变化校正后,DIC的测量精度大大提高。

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