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.
|Number of pages||4|
|Journal||Jiliang Xuebao/Acta Metrologica Sinica|
|Publication status||Published - 2003|
Zeng, W. H., Gao, Y., Xie, T. B., & Li, Z. (2003). A Fast Gauss filtering Algorithm for 3D Surface Roughness. Jiliang Xuebao/Acta Metrologica Sinica, 2003(1), 10-13. http://caod.oriprobe.com/articles/5593938/A_Fast_Gauss_Filtering_Algorithm_for_3D_Surface_Roughness.htm