A Fast Gauss filtering Algorithm for 3D Surface Roughness

Wen Han Zeng; Yongsheng Gao; Tie Bang Xie; Zhu Li

A Fast Gauss filtering Algorithm for 3D Surface Roughness

Wen Han Zeng, Yongsheng Gao, Tie Bang Xie, Zhu Li

Research output: Contribution to journal › Article › peer-review

Abstract

The mathematical model of the three-dimensional surface roughness evaluation benchmark and the digital algorithm for obtaining the three-dimensional surface evaluation benchmark using a Gaussian filter are proposed. A new fast Gaussian filter convolution algorithm for three-dimensional surfaces is proposed. This algorithm uses the two-dimensional Gaussian function. The iterable characteristics and separability have the advantages of greatly reducing the number of exponential operations and improving the calculation speed.

Original language	English
Pages (from-to)	10-13
Number of pages	4
Journal	Jiliang Xuebao/Acta Metrologica Sinica
Volume	2003
Issue number	1
Publication status	Published - 2003
Externally published	Yes

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title = "A Fast Gauss filtering Algorithm for 3D Surface Roughness",

abstract = "The mathematical model of the three-dimensional surface roughness evaluation benchmark and the digital algorithm for obtaining the three-dimensional surface evaluation benchmark using a Gaussian filter are proposed. A new fast Gaussian filter convolution algorithm for three-dimensional surfaces is proposed. This algorithm uses the two-dimensional Gaussian function. The iterable characteristics and separability have the advantages of greatly reducing the number of exponential operations and improving the calculation speed.",

keywords = "Metrology, Roughness, Gaussian filter, evaluation reference",

author = "Zeng, \{Wen Han\} and Yongsheng Gao and Xie, \{Tie Bang\} and Zhu Li",

year = "2003",

language = "English",

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T1 - A Fast Gauss filtering Algorithm for 3D Surface Roughness

AU - Zeng, Wen Han

AU - Gao, Yongsheng

AU - Xie, Tie Bang

AU - Li, Zhu

PY - 2003

Y1 - 2003

N2 - The mathematical model of the three-dimensional surface roughness evaluation benchmark and the digital algorithm for obtaining the three-dimensional surface evaluation benchmark using a Gaussian filter are proposed. A new fast Gaussian filter convolution algorithm for three-dimensional surfaces is proposed. This algorithm uses the two-dimensional Gaussian function. The iterable characteristics and separability have the advantages of greatly reducing the number of exponential operations and improving the calculation speed.

AB - The mathematical model of the three-dimensional surface roughness evaluation benchmark and the digital algorithm for obtaining the three-dimensional surface evaluation benchmark using a Gaussian filter are proposed. A new fast Gaussian filter convolution algorithm for three-dimensional surfaces is proposed. This algorithm uses the two-dimensional Gaussian function. The iterable characteristics and separability have the advantages of greatly reducing the number of exponential operations and improving the calculation speed.

KW - Metrology

KW - Roughness

KW - Gaussian filter

KW - evaluation reference

UR - https://www.scopus.com/pages/publications/0037219928

M3 - Article

AN - SCOPUS:0037219928

SN - 1000-1158

VL - 2003

SP - 10

EP - 13

JO - Jiliang Xuebao/Acta Metrologica Sinica

JF - Jiliang Xuebao/Acta Metrologica Sinica

IS - 1

ER -

A Fast Gauss filtering Algorithm for 3D Surface Roughness

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