Digital speckle displacement measurement by fuzzy logic correlation

Dong Hui Li; Li Guo; Tian Qiu

doi:10.1117/12.676937

23 February 2006 Digital speckle displacement measurement by fuzzy logic correlation

Dong Hui Li, Li Guo, Tian Qiu

Proceedings Volume 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 61505A (2006) https://doi.org/10.1117/12.676937
Event: 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2005, Xian, China

Abstract

Fuzzy set has an advantage over classic set for representation of objects with a high degree of vagueness, inaccurate, or uncertainty. Fuzzy set theory could be seen as a generalization of classic set theory. In this paper, a digital speckle correlation method based on fuzzy logic (DSCMF) is proposed to measure the displacement of laser speckles. DSCMF is developed to improve performances of the digital speckle correlation method based on classic logic (DSCMC), at the same time keeping low computation simplicity. Fuzzy correlation between two images could be defined as an integral of membership of similarity between elements of two images. Membership function of similarity is defined to represent the distance of two values. An optical and analysis system was set up to verify DSCMF's validity. A parameter δ_SNis introduced to represent the ratio of signal to noise. Experimental results show that DSCMF using triangle tent similarity membership function could obtain a bigger tδ_SN than DSCMC could. This paper also shows the influence on δ_SN of quantification of membership function.

Citation Download Citation

Dong Hui Li, Li Guo, and Tian Qiu "Digital speckle displacement measurement by fuzzy logic correlation", Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 61505A (23 February 2006); https://doi.org/10.1117/12.676937

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KEYWORDS

Speckle

Fuzzy logic

Signal to noise ratio

Binary data

Correlation function

Logic

Distributed interactive simulations

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