Open AccessColorimetric discrimination for Stokes polarimetric imaging
Author(s) -
Mingxuan Yu,
Haihong Huang,
Haofeng Hu,
Lan Wu,
Hongchen Zhai,
Tiegen Liu
Publication year - 2017
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.003765
Subject(s) - grayscale , polarimetry , stokes parameters , optics , polarization (electrochemistry) , computer vision , artificial intelligence , computer science , remote sensing , physics , pixel , geology , scattering , chemistry
Traditional methods of discrimination for Stokes polarimetric imaging use grayscale images, in which the difference of the polarimetric properties is only reflected by the difference of grayscale. In this paper, we propose a method of colorimetric discrimination and classification for Stokes polarimetric imaging by the composed color polarimetric image, in which the objects with different polarization properties can appear in different colors. We show with real-world experiment that compared with the traditional method for the grayscale Stokes scalar image, the method proposed in this paper has a better performance for distinguishing objects with different polarization properties.