A Non-iterative Robust-Gaussian Filtering Algorithm for Roughness Measurements

被引：0

作者：

Bakucz, Peter ^{[1
]}

Szabo, Jozsef Z. ^{[1
]}

Varkonyi-Koczy, Annamaria ^{[1
]}

机构：

[1] Obuda Univ, Donat Banki Fac Mech & Safety Engn, Inst Mechatron & Vehicle Engn, Nepszinhaz U 8, H-1081 Budapest, Hungary

来源：

2015 IEEE 10TH JUBILEE INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：69 / 72

页数：4

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