Anna Guillaume, Goudail François, Dolfi Daniel
Institut d'Optique, CNRS, Univ Paris Sud 11, Palaiseau, France.
Opt Express. 2011 Dec 5;19(25):25367-78. doi: 10.1364/OE.19.025367.
Until now, most studies about polarimetric contrast optimization have focused on the discrimination of two regions (a target and a background). In this paper, we propose a methodology to determine the set of polarimetric measurements that optimize discrimination of an arbitrary number of regions with different polarimetric properties. We show on real world examples that in some situations, a few number of optimized polarimetric measurements can overcome the performance of full Mueller matrix imaging.
到目前为止，大多数关于偏振对比度优化的研究都集中在两个区域（一个目标和一个背景）的区分上。在本文中，我们提出了一种方法，用于确定能够优化对任意数量具有不同偏振特性区域进行区分的偏振测量集。我们通过实际例子表明，在某些情况下，少量优化后的偏振测量可以超越全穆勒矩阵成像的性能。
