Fast algorithm of the Robust Gaussian Regression Filter for Areal Surface Analysis

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

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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:	Author Author
Depositing User:	Wenhan Zeng
Date Deposited:	13 May 2010 08:44
Last Modified:	06 Apr 2018 20:30
URI:	http://eprints.hud.ac.uk/id/eprint/7607

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