Measuring the Polarization Degree Based on Optimal Window Median Filtering Algorithm
Yange Lv*, Liyan Pang*, and Guohun Zhu*,**
*School of Electrical Engineering and Automation, Guilin University of Electronic Technology
No.1 Jinji Road, Guilin 541004, China
**Faculty of Health, Engineering and Sciences, University of Southern Queensland Toowoomba
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.
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