A non-iterative robust-Gaussian filtering algorithm for roughness measurements

P. Bakucz, J. Z. Szabó, A. Várkonyi-Kóczy
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引用次数: 1

Abstract

To be introduced a non-iterative robust-Gaussian filter-operator for surface roughness parameters. We use modified bilateral filtering method with an initial approximation for the roughness measurement. The operator is robust and fast in the sense that it can suppress outliers in a non-iterative way. The results are compared with the Gaussian regression filtering method.
粗糙度测量的非迭代鲁棒高斯滤波算法
介绍了一种用于表面粗糙度参数的非迭代鲁棒高斯滤波算子。我们使用带有初始近似的改进双边滤波方法来测量粗糙度。该算子的鲁棒性和快速性体现在它能以非迭代的方式抑制异常值。结果与高斯回归滤波方法进行了比较。
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