GPGPU-based Gaussian filtering for surface metrological data processing

Yang Su*, Zhijie Xu, Xiangqian Jiang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

15 Citations (Scopus)

Abstract

Engineering surfaces are characterized by the form, waviness and roughness features that are comprised of a range of spatial wavelengths. Filtering techniques are commonly adopted to separate these different wavelength components into well-defined bandwidths for further processing. The Gaussian filtered surface in which a 2D Gaussian filter is employed for surface assessments has been recommended by the ISO 11562-1996 and ASME B46-1995 standards to establish a reference surface. For Gaussian filtering, computational efficiency is a key problem when it is issued on a large set of surface metrology data. In the past this problem was tackled through reducing computation amount by the design and adoption of some fast algorithms. In this paper, a General Purpose Computing on GPU (GPGPU) framework is discussed to accelerate 2D Gaussian filtering for surface characterization. This framework takes advantage of the GPU's parallel computing ability and has achieved better data efficiency without reducing the computational amount while maintaining the filtering quality. Filtering results and their accuracy from this model have been compared with the results obtained from the MATLAB simulation kits and the satisfied outcomes were observed.

Original languageEnglish
Title of host publicationProceedings of 12th International Conference Information Visualisation, IV08
Pages94-99
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event12th International Conference Information Visualisation, IV08 - London, United Kingdom
Duration: 9 Jul 200811 Jul 2008

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547

Conference

Conference12th International Conference Information Visualisation, IV08
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/0811/07/08

Keywords

  • Gaussian filtering
  • General purpose computing on GPU
  • Surface assessment

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