一种新的区域增长相位去包裹算法

NEW REGION-GROWINGALGORITHM FOR PHASE UNWRAPPING

相位去包裹是分析光学干涉系统相位图的一个关键环节,受各种噪声或欠采样的影响,传统的去包裹算法不能很好地恢复真实相位,误差会沿去包裹方向扩散,在真实相位图上形成“拉线”现象。提出了一种新的在品质图导引下基于路径预测的区域增长去包裹算法,该算法具有较强的抗噪声性能,即使存在少量欠采样点时仍能较好地去包裹。将其应用于三维面形测量中,可以有效地解决由于噪声、欠采样、低信噪比和低调制度等原因造成的相位畸变对正常去包裹的影响。文中给出了具体算法,并对人体石膏像模型进行了去包裹,结果验证了该方法的有效性和可行性。

Phase unwrapping is a key step in interferometric phase analysis. Affected by noise or sub-sampling, traditional algorithm can not restore the real phase well and the errors spread along the direction of the unurapping and make lines in the real phase. A new region-growing algorithm based on predictions and guided by quality map is described. It can be applied to the three-dimension measurement and work well even in the lower noise-signal-ratio or sub-sampling conditions. The detailed algorithm and an example of human body plaster model are also given. The result shows the new region-growing algorithm is efficient and feasible.