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Phase stepping digital interference microscopy (PSM) image improvementsby fuzzy logic algorithms,

机译:通过模糊逻辑算法改进相位步进数字干涉显微镜(PSM)图像,

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Abstract: Phase stepping digital interference microscopy (PSM) is a measuring technique that can be used for the three-dimensional analysis of small surface defects in many microelectronic applications on bulk materials and epitaxial layers. If the resulting intensities for the interference after regular phase stepping are I$-1$/, I$-2$/,...,I$-p$/, where p $EQ 3,4,5,... according to the method, then the relief h(x,y) is given as a well known function of the I$-i$/. We have used fuzzy logic to improve the algorithms in order to secure the final result and also to afford a possibility for a subsample resolution: first we define into the I-space N fuzzy classes in a non linear way; then the regularity needed in phase stepping leads us to define theoretical p-uples of fuzzy classes. Finally we correct the p-uples of measured values (I$-1$/, I$-2$/,..., I$-p$/) according to the membershipness to the theoretical p-uples of fuzzy classes. These algorithms lead to important image improvements, offering better accuracy and a partial solution to the problem of image noise. !2
机译:摘要:相位步进数字干涉显微镜(PSM)是一种测量技术,可用于在散装材料和外延层上的许多微电子应用中对小的表面缺陷进行三维分析。如果在常规相位步进之后得到的干扰强度为I $ -1 $ /,I $ -2 $ /,...,I $ -p $ /,其中p $ EQ 3,4,5,...根据该方法,则释放量h(x,y)作为I $ -i $ /的众所周知的函数给出。我们使用模糊逻辑来改进算法,以确保最终结果并为子样本分辨率提供可能性:首先,我们以非线性方式将其定义到I空间N个模糊类中。然后,相位步进所需的规律性使我们定义了模糊类的理论p-pule。最后,我们根据模糊类的理论p-组的隶属度来校正测量值的p-组(I $ -1 $ /,I $ -2 $ /,...,I $ -p $ /)。这些算法带来了重要的图像改进,提供了更高的准确性,并部分解决了图像噪声问题。 !2

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