Gaussian-Based Robust Filtering for Estimating Engineering Surfaces

Huifen Li, Xiangqian Jiang, Zhu Li

Research output: Contribution to journalComment/debatepeer-review

4 Citations (Scopus)


This paper analyses the shortcomings of Gaussian filtering in practical engineering surface evaluation, introduces robust estimation theory, and proposes a new robust algorithm based on Gaussian filtering, which eliminates the influence of surface outliers on the efficiency of Gaussian filtering and improves the robustness of Gaussian filtering. The results of the example analysis show that the method can reliably obtain the evaluation benchmark and realize the distortion-free extraction and analysis of surface information. Compared with the traditional Gaussian filter, it is more convenient for the practical application of engineering surface evaluation.
Original languageEnglish
Pages (from-to)43
Number of pages1
JournalHuazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
Issue number8
Publication statusPublished - 1 Aug 2002

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