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Zeng, Wenhan, Jiang, Xiang and Scott, Paul J. (2010) Fast algorithm of the Robust Gaussian Regression Filter for Areal Surface Analysis. Measurement Science and Technology, 21 (5). 055108. ISSN 0957-0233
Metadata only available from this repository.Abstract
In this paper, the general model of the Gaussian regression filter for areal surface analysis is explored. The intrinsic relationships between the linear Gaussian filter and the robust filter are addressed. A general mathematical solution for this model is presented. Based on this technique, a fast algorithm is created. Both simulated and practical engineering data (stochastic and structured) have been used in the testing of the fast algorithm. Results show that with the same accuracy, the processing time of the second-order nonlinear regression filters for a dataset of 1024*1024 points has been reduced to several seconds from the several hours of traditional algorithms
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Schools: | School of Computing and Engineering School of Computing and Engineering > Centre for Precision Technologies School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group |
| Related URLs: | |
| Depositing User: | Wenhan Zeng |
| Date Deposited: | 13 May 2010 09:44 |
| Last Modified: | 02 Dec 2010 10:00 |
| URI: | http://eprints.hud.ac.uk/id/eprint/7607 |
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