Open AccessSegmentation of Mueller matrix images under non-uniform illumination
Author(s) -
M. Karnoukian,
Sylvain Faisan,
Ch. Heinrich,
Alex Lallement,
Jihad Zallat
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.018218
Subject(s) - segmentation , computer science , mueller calculus , computer vision , artificial intelligence , image segmentation , scale space segmentation , optics , image quality , matrix (chemical analysis) , pattern recognition (psychology) , image (mathematics) , polarimetry , physics , scattering , materials science , composite material
The recently proposed restoration-segmentation algorithms dedicated to polarization encoded images suffer two important limitations: the number of classes into which the image is segmented is not obtained automatically, and more importantly the quality of the segmentation is affected by the nonuniformity of the illumination of the scene. We propose here a new method addressing these issues. It is based on a global estimation-segmentation approach, explicitly modeling the nonuniform illumination. The physical admissibility of the retrieved Mueller matrices is ensured. Results stemming from synthetic and real data are provided and support the proposed approach.