基于自适应参数的径向基函数相位解缠算法

为了改进基于径向基函数的相位解缠(RBFPU)算法 ,针对不同的缠绕图, 提出了一种自适应参数的RBFPU(ADRBFPU)算法:先对图像进行分块 ,然后按照各块的图像复杂度确定对应的径向基函数的宽度。实验结果表明,在不同噪声水 平下,与经典RBFPU算法及经典的质量图导向(QGPU)法和图割(PUMA)法等相比,本文算法具 有更好的鲁棒性。

Phase unwrapping based on radial basis function with adaptive parameters

Phase unwrapping is a common problem f or many phase measurement techniques,which restores original continuous phase fr om the wrapped phases.In this paper,an improved algorithm of phase unwrapping ba sed on radial basis function with adaptive parameters is proposed.Firstly,the image is divided into some blocks,an d then the width of the radial basis function of each block is determined according to the complexity of the corresponding block.The experimental results show that the algorithm has be tter robustness compared with the original radial basis function algorithm,the classical method of the quality map,and graph cutting method in different noise levels.