基于傅里叶变换相位的散斑照相测面内位移算法研究
[Abstract]:Micro displacement measurement is of great significance in engineering application and material mechanics. The existing measurement technology is mainly divided into optical measurement and electrical measurement. Speckle photography is one of the effective ways to realize micro displacement in optical measurement. In this paper, based on the existing speckle photography theory, a new algorithm based on Fourier transform phase is proposed in order to improve the measurement accuracy and realize the sub-pixel measurement. In this paper, the operation mode of the new algorithm is discussed in detail. The concrete work includes: (1) the theory of speckle photography algorithm based on Fourier transform phase is expounded, and the measurement limit is measured with the traditional autocorrelation speckle photography method. The specific comparison of measurement accuracy. (2) the speckle pattern data processing is completed with MATLAB software, and the traditional addition mode is compared. The measurement results of subtraction mode and phase algorithm. (3) the measurement limit and accuracy of phase algorithm are explained and verified theoretically. The noise problem encountered in sub-pixel measurement is effectively dealt with. (4) the experiment of using the new algorithm to measure the displacement of white light speckle is completed. The theoretical and experimental results show that the minimum displacement detected by the phase algorithm has nothing to do with the speckle size, but only depends on the pixel spacing of the photoelectric conversion device, and the maximum measured value is larger than that of the traditional speckle photography method. The phase method can easily judge the direction of speckle field movement. In addition, the phase algorithm can realize the sub-pixel measurement, the measurement accuracy reaches the sub-micron level, and the relative error is about 10%. The white light speckle experiment shows that the phase algorithm is also suitable in this neighborhood.
【学位授予单位】:昆明理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:O43
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