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Investigation of Speckle Image Correction Technique Based on Coding Assistance

机译:基于编码辅助的散斑图像校正技术研究

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The effect of image correction on digital speckle correlation method (DSCM) is researched. And the error caused by differences in attitude is analyzed. Then the theoretical model of image correction based on coding assistance is established. According to the model, computer simulation is conducted. The error of corrected image is significantly reduced after correlation calculation. The relationship between the angle of distortion and matching rate is studied in physical experiment, the error is obviously stabilized, so the accuracy is guaranteed basically. The result showed that speckle image correction technique based on coding assistance will be conductive to improve the measurement accuracy and sensitivity, and the measurement error will decrease from 0.05pixel to 0.01 pixel.
机译:研究了图像校正对数字斑点相关方法(DSCM)的影响。分析了态度差异引起的误差。然后建立了基于编码辅助的图像校正的理论模型。根据该模型,进行计算机仿真。相关性计算后校正图像的误差显着减少。在物理实验中研究了失真和匹配速率之间的关系,误差明显稳定,因此基本上可以保证精度。结果表明,基于编码辅助的散斑图像校正技术将导致提高测量精度和灵敏度,测量误差将从0.05pixel减小到0.01像素。

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