Measuring the Polarization Degree Based on Optimal Window Median Filtering Algorithm

Abstract

Polarization degree measurement requires that the three input axes be orthogonal. This prevents this method from being used if input angles are nonorthogonal. This paper proposes a method for optimal window median filtering preprocessing to measure the polarization degree of nonorthogonal angles. A 7×7 window is selected to filter out most noise and identify an object from polarization degree images. Compared to conventional algorithms, the proposed method selects three nonorthogonal angles, which is applied to measuring the polarization degree of dynamic objects.