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Proceedings Paper

Surface roughness measurement based on digital laser speckle pattern by Markov Random Fields Model in wavelet domain
Author(s): Lei Yang; Rong-sheng Lu; Yan-qiong Shi; Li-qiao Lei; Zhi-jian Liu
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Paper Abstract

A non-contact surface roughness measurement technique is put forward based on texture analysis of the digital laser speckle pattern coming from a measured grinding surface. The speckle pattern was captured by a digital camera while the grinding metal surface was illuminated by a laser. Then the surface roughness information immerged in the high frequency sub-band of the speckle pattern was extracted with the texture analysis of wavelet transform and Markov Random Fields model. Our research has illustrated that surface roughness Ra has a good monotonic relationship with the texture features of the speckle pattern. If this measuring system is calibrated with the surface standard samples roughness beforehand, the surface roughness actual value Ra may be obtained in the case of the same material surfaces ground at the same manufacture conditions.

Paper Details

Date Published: 10 October 2013
PDF: 7 pages
Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89160K (10 October 2013); doi: 10.1117/12.2035842
Show Author Affiliations
Lei Yang, Hefei Univ. of Technology (China)
Rong-sheng Lu, Hefei Univ. of Technology (China)
Yan-qiong Shi, Huainan Union Univ. (China)
Li-qiao Lei, Hefei Univ. of Technology (China)
Zhi-jian Liu, Hefei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 8916:
Sixth International Symposium on Precision Mechanical Measurements
Shenghua Ye; Yetai Fei, Editor(s)

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