Polarization information parsing plays an important role in polarization imaging detection. This paper focus on the
polarization information parsing method: Firstly, the general process of polarization information parsing is given, mainly
including polarization image preprocessing, multiple polarization parameters calculation, polarization image fusion
and polarization image tracking, etc.; And then the research achievements of the polarization information parsing method
are presented, in terms of polarization image preprocessing, the polarization image registration method based on the
maximum mutual information is designed. The experiment shows that this method can improve the precision of
registration and be satisfied the need of polarization information parsing; In terms of multiple polarization parameters
calculation, based on the omnidirectional polarization inversion model is built, a variety of polarization parameter images
are obtained and the precision of inversion is to be improve obviously; In terms of polarization image fusion , using
fuzzy integral and sparse representation, the multiple polarization parameters adaptive optimal fusion method is given,
and the targets detection in complex scene is completed by using the clustering image segmentation algorithm based on
fractal characters; In polarization image tracking, the average displacement polarization image characteristics of
auxiliary particle filtering fusion tracking algorithm is put forward to achieve the smooth tracking of moving targets.
Finally, the polarization information parsing method is applied to the polarization imaging detection of typical targets
such as the camouflage target, the fog and latent fingerprints.