A Fast Gauss filtering Algorithm for 3D Surface Roughness

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

Research output: Contribution to journalArticle

9 Citations (Scopus)

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 languageEnglish
Pages (from-to)10-13
Number of pages4
JournalJiliang Xuebao/Acta Metrologica Sinica
Volume2003
Issue number1
Publication statusPublished - 2003
Externally publishedYes

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