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 |
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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 |