You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
7 November 2016Research on polarization imaging information parsing method
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.
The alert did not successfully save. Please try again later.
Hongwu Yuan, Pucheng Zhou, Xiaolong Wang, "Research on polarization imaging information parsing method," Proc. SPIE 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016, 101411E (7 November 2016); https://doi.org/10.1117/12.2255713