一种基于图像相位信息的亚像素微位移测量算法

A Sub-pixel Micro-Displacement Measurement Algorithm Based on Pattern Phase Information

综合考虑了图像的振幅和相位信息,并按相位涡旋的物理和几何特征,研究了基于数字散斑图像相位奇点匹配的位移测量算法。该算法对图像的交流信号,经用希尔伯特变换方法,提取散斑图像的实部和虚部信息,并用曲面拟合方法确定相位奇点的坐标,从而确定图像序列间的位移。试验结果表明,相位奇点匹配算法具有良好的精确度和稳定性。

In a combination of the amplitude and phase information of the pattern,and the physical and geometrical features of the phase vortex,we study a new algorithm to estimate the displacement based on the phase singularity matching method(PSMM) of the speckle pattern.Applying the hilbert method to transform the accomponent of intensity of the original pattern,this algorithm retrieves the real part and imaginary part of the patterns respectively,and use the curve-fitting method to identify the location of the phase singularity,and finally obtains the displacement of the pattern frames.The experiment results reveal that PSMM is nice accurate and stable.