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10 October 2013Surface roughness measurement based on digital laser speckle pattern by Markov Random Fields Model in wavelet domain
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.
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Lei Yang, Rong-sheng Lu, Yan-qiong Shi, Li-qiao Lei, Zhi-jian Liu, "Surface roughness measurement based on digital laser speckle pattern by Markov Random Fields Model in wavelet domain," Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89160K (10 October 2013); https://doi.org/10.1117/12.2035842