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|出版社:||國立中興大學工學院;Airiti Press Inc.|
|摘要:||This work presents a path-independent phase unwrapping algorithm, which is fast, robust and noise-immune. The proposed algorithm is based on a parallel elimination of local phase discontinuities and the subsequent shift of them, through iterations, to the boundary. By this algorithm, the cycle of iterations hardly differs for noisy or noise-free maps. A noise factor is introduced to illustrate almost no differences between the results, whereas for the earlier parallel algorithm-the cellular automata, the factor grows quickly as data became noisy. The noise-immune algorithm is proposed to circumvent the practical problems of phase inconsistency, which may be caused by speckle noise, electronic noise, sampling aliasing, filtering and/or the data in nature. Maps with and without inconsistent poles are detailed. Moreover, maps with complex border shapes are experimental analyses prove the effectiveness of the present study.|
|Appears in Collections:||第13卷 第2期|
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