Surface roughness measurement based on digital laser speckle pattern by Markov Random Fields Model in wavelet domain

Lei Yang; Rong-sheng Lu; Yan-qiong Shi; Li-qiao Lei; Zhi-jian Liu

doi:10.1117/12.2035842

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10 October 2013 Surface roughness measurement based on digital laser speckle pattern by Markov Random Fields Model in wavelet domain

Lei Yang, Rong-sheng Lu, Yan-qiong Shi, Li-qiao Lei, Zhi-jian Liu

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Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 89160K (2013) https://doi.org/10.1117/12.2035842
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China

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.

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Lei Yang, Rong-sheng Lu, Yan-qiong Shi, Li-qiao Lei, and 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

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