Mueller matrix algorithms

DB Chenault, JL Pezzaniti… - Polarization Analysis …, 1992 - spiedigitallibrary.org
algorithms and a calibration step, the associated systematic errors are calculated and removed
from the measured Mueller matrix. … on the calculated Mueller matrix elements and their …

Mueller matrix roots algorithm and computational considerations

HD Noble, RA Chipman - Optics Express, 2012 - opg.optica.org
… In this study, these concepts are applied to the calculation of the Mueller matrix roots for the
purpose of Mueller matrix decomposition. In order for the Mueller matrix roots decomposition …

Characterization of Mueller matrix elements for classifying human skin cancer utilizing random forest algorithm

NT Luu, TH Le, QH Phan… - Journal of biomedical …, 2021 - spiedigitallibrary.org
… Significance: The Mueller matrix decomposition method is … Mueller matrix elements and a
random forest (RF) algorithm. … the 16 elements of the Mueller matrices obtained from 32 tissue …

Introduction of a 3× 4 Mueller matrix decomposition method

M Gonzalez, R Ossikovski, T Novikova… - Journal of Physics D …, 2021 - iopscience.iop.org
… of the aforementioned phantom with different algorithms can be seen in figure 5, where
we can qualitatively see the similar values of depolarization, the values of the retardance …

Utilization of Mueller matrix formalism to obtain optical targets depolarization and polarization properties

F Le Roy-Brehonnet, B Le Jeune - Progress in Quantum Electronics, 1997 - Elsevier
… For instance, using our algorithm on Mueller matrices representing plates of ferrofluid (chapter
2) permitted us to extract their characteristics of diattenuation and retardation, while …

Polaromics: deriving polarization parameters from a Mueller matrix for quantitative characterization of biomedical specimen

P Li, Y Dong, J Wan, H He, T Aziz… - Journal of Physics D …, 2021 - iopscience.iop.org
… as functions of the Mueller matrix elements. (Details of … Mueller matrix is the Mueller matrix
decomposition (MMD) techniques, which represent the nonlinear data compression algorithms

Mueller matrix polarimetry—an emerging new tool for characterizing the microstructural feature of complex biological specimen

H He, R Liao, N Zeng, P Li, Z Chen… - Journal of Lightwave …, 2018 - ieeexplore.ieee.org
Mueller matrix polarimetric field, including recent improvements both in instrumentation and
data analysis. We also introduce the application of Mueller matrixMueller matrix algorithms […

Overdetermined broadband spectroscopic Mueller matrix polarimeter designed by genetic algorithms

LMS Aas, PG Ellingsen, BE Fladmark, PA Letnes… - Optics …, 2013 - opg.optica.org
… The Mueller matrix is a 4 × 4 transfer matrix transforming an initial Stokes vector to the final
by S final = M sample S initial . A Mueller matrix can describe all changes in the polarization …

Classification of morphologically similar algae and cyanobacteria using Mueller matrix imaging and convolutional neural networks

X Li, R Liao, J Zhou, PTY Leung, M Yan, H Ma - Applied optics, 2017 - opg.optica.org
… , in this paper we utilize the Mueller matrix imaging technique implemented by a modified
microscope for data collection, and CNNs with suitable algorithmic architectures as well as …

Conversion of 3× 3 Mueller matrix to 4× 4 Mueller matrix for non-depolarizing samples

MK Swami, HS Patel, PK Gupta - Optics Communications, 2013 - Elsevier
… However, for such incomplete Mueller matrix measurements the decomposition algorithms
cannot be applied directly. To address this issue we propose a scheme, based on inter-…