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A New Phase Unwrapping Algorithm Based on Relative Distance Oriented

机译:一种基于相对距离导向的新相展开算法

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A relative distance-oriented phase unwrapping algorithm is presented in this paper. Considered the wrapped phase value and modulation distribution of the neighboring pixel, a relative distance of two adjacent pixels is calculated and localized in a complex coordinates, in which the relative distance tree will be composed by all the relative distances and will be used to determine the optimized path of phase unwrapping. The smaller relative distance shows that the phase difference between the two corresponding pixels is very small and the phase data waiting for unwrapping is more reliable. The closer the relative distance is, the more success the phase unwrapping will achieve. Combining the minimum spanning tree algorithm, the phase unwrapping order of each pixel can be determined and the whole phase unwrapping path can also be given. The phase unwrapping path is always directed from the minimum distance value to the greater one. Consequently, this algorithm could avoid error propagating in the phase unwrapping. The errors could be limited in the minimum local region in worst case and the error probability of the phase unwrapping is as low as possible. The physical significance of the relative distance and the fully algorithm for phase unwrapping are proposed in this paper. The result of the experiment show that this new algorithm is feasible and effective, it could control the path avoid crossing the poles, branch-cut and the shadow in the phase unwrapping.
机译:的相对定向的距离相位展开算法,本文。考虑的包裹相位值和所述相邻像素的调制分布,两个相邻的像素的相对距离被计算和定位在一个复杂的坐标,其中所述相对距离树将被所有的相对距离可以由和将被用于确定相位展开的优化路径。较小的相对距离显示,两个相应像素之间的相位差是非常小的并且相位数据在等待解缠更加可靠。越接近的相对距离,越成功的相位展开将实现。结合最小生成树算法中,每个像素的相位展开顺序可被确定,并且也可以给予整个相位展开路径。相位解缠路径总是从最小距离值到更大的一个定向。因此,该算法能够避免在相位解缠误差传播。该错误可能在最小局部区域被限制在最坏的情况下和在相位展开的错误概率尽可能低。相对距离和完全算法相位展开的物理意义,提出了本文。的实验显示结果,该算法是可行的,有效的,它可以控制路径避免穿越两极,枝切和相位展开的影子。

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