首页> 外文会议>Twenty-First Annual Meeting of the American Society for Precision Engineering >THE EFFECT OF GAUSSIAN FILTER LONG WAVELENGTH CUTOFF λc IN TOPOGRAPHY MEASUREMENTS AND COMPARISONS
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THE EFFECT OF GAUSSIAN FILTER LONG WAVELENGTH CUTOFF λc IN TOPOGRAPHY MEASUREMENTS AND COMPARISONS

机译:高斯滤波长波截止λc在地形测量和比较中的作用。

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Topography measurements play an important role in surface and nano-metrology, production quality control, tribology, bio-technology and forensic science. Dozens of surface parameters are specified in national and international standards. Although none of these are designed for topography comparisons, statistical methods of auto- and cross-correlation function (ACF and CCF) may be adapted to this purpose. At the National Institute of Standards and Technology (NIST), we use the CCF maximum (CCF_(max)) and a new parameter we call the profile (or topography) difference, D_s, to quantify differences between 2D profiles or between 3D topographies. The CCF_(max) is the value of the cross-correlation function when the two correlated 2D profiles or 3D topographies, A and B, are located in their maximum correlation position (or "zero-shift" position) after registration. At this position, profile (or topography) difference, B - A, is calculated.
机译:地形测量在表面和纳米计量学,生产质量控制,摩擦学,生物技术和法医科学中发挥着重要作用。国家和国际标准中规定了数十种表面参数。尽管这些方法都不是为地形比较而设计的,但自相关和互相关函数(ACF和CCF)的统计方法可能适用于此目的。在美国国家标准技术研究院(NIST),我们使用CCF最大值(CCF_(max))和一个称为轮廓(或形貌)差异D_s的新参数来量化2D轮廓或3D形貌之间的差异。 CCF_(max)是两个相关的2D轮廓或3D地形图A和B在注册后位于其最大相关位置(或“零偏移”位置)时的互相关函数的值。在此位置,将计算轮廓(或地形)差异B-A。

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