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Digital speckle displacement measurement by fuzzy logic correlation

机译:基于模糊逻辑关联的数字散斑位移测量

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摘要

Fuzzy set has an advantage over classic set for representation of objects with a high degree of vagueness, inaccurate, or uncertainty. Fuzzy set theory could be seen as a generalization of classic set theory. In this paper, a digital speckle correlation method based on fuzzy logic (DSCMF) is proposed to measure the displacement of laser speckles. DSCMF is developed to improve performances of the digital speckle correlation method based on classic logic (DSCMC), at the same time keeping low computation simplicity. Fuzzy correlation between two images could be defined as an integral of membership of similarity between elements of two images. Membership function of similarity is defined to represent the distance of two values. An optical and analysis system was set up to verify DSCMF's validity. A parameter δ_(SN) is introduced to represent the ratio of signal to noise. Experimental results show that DSCMF using triangle tent similarity membership function could obtain a bigger δ_(SN) than DSCMC could. This paper also shows the influence on δ_(SN) of quantification of membership function.
机译:对于具有高度模糊,不准确或不确定性的对象表示,模糊集比经典集具有优势。模糊集理论可以看作是经典集理论的概括。提出了一种基于模糊逻辑的数字散斑相关方法(DSCMF)来测量激光散斑的位移。 DSCMF的开发旨在提高基于经典逻辑(DSCMC)的数字散斑相关方法的性能,同时保持较低的计算简便性。可以将两个图像之间的模糊相关性定义为两个图像元素之间相似性隶属关系的积分。相似性的隶属度函数定义为代表两个值的距离。建立了光学和分析系统以验证DSCMF的有效性。引入参数δ_(SN)以表示信噪比。实验结果表明,使用三角帐篷相似隶属度函数的DSCMF可获得比DSCMC更大的δ_(SN)。本文还显示了隶属度函数量化对δ_(SN)的影响。

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