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Proceedings Paper

Grinding surface roughness measurement based on Gauss-Markov random field model of laser speckle pattern texture
Author(s): Lei Yang; Rongsheng Lu; Liqiao Lei
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Paper Abstract

The relationships between laser speckle pattern texture features of grinding surface and surface roughness are investigated. The laser speckle pattern texture images of surface roughness are taken by a simple setup. Gauss-Markov random field (GMRF) model is a kind of texture model method which can describe probability model of gather of texture and be able to capture the local contextual information in an image. Therefore, by modeling GMRF model the laser speckle texture images of grinding surface are analyzed. Feature vectors of GMRF are calculated with different neighbor sets. Texture features- Mean, Variance and Energy are extracted to characterize grinding surface roughness from GMRF feature vectors. The relationships curves are drawn between the texture features and surface roughness. The experiment results show that the surface roughness contained in the surface speckle pattern texture images has a good monotonic relationship with texture features of GMRF model. This method can extract the surface roughness of the object surface composed of the same material and machined by the same method as the standard specimen.

Paper Details

Date Published: 26 May 2011
PDF: 7 pages
Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79971X (26 May 2011); doi: 10.1117/12.888436
Show Author Affiliations
Lei Yang, Hefei Univ. of Technology (China)
Rongsheng Lu, Hefei Univ. of Technology (China)
Liqiao Lei, Hefei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 7997:
Fourth International Seminar on Modern Cutting and Measurement Engineering
Jiezhi Xin; Lianqing Zhu; Zhongyu Wang, Editor(s)

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