Histogram modeling of polarimetric images for analysis of material propertiesHistogram modeling of polarimetric images for analysis of material properties Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-252012enContrast measurements become of increasing importance in digital imaging, where region of interest (ROI) differences can be effectively identified, processed and segmented. The image contrast among different structures varies with the material properties, material composition, and geometrical parameters, and it is difficult to be determined only from its physical, electrical, or optical parameters. The novelty of this study consists in fusing statistical analysis with polarimetric principles. As a result, quantification of image contrast in terms of Stokes parameters together with the modeling of intensity distribution for the corresponding target areas can be proved a powerful tool for analyzing the different properties of operational modalities and/or materials depicted in digital images. By fusing the above concepts, we explored the intrinsic potential of an efficient molecular imaging technique aimed at increasing the optical contrast of a structure surrounded by a scattering medium.http://creativecommons.org/licenses/by/4.0/381-3845th European Conference of the International Federation for Medical and Biological EngineeringIFMBE Proceedings Zervakis Michail Ζερβακης Μιχαηλ Livanos Georgios Λιβανος Γεωργιος Giakos G. C. Springer Verlag Polarimetric imaging DOP Degree-of-Polarization Optically active molecules Histogram fitting Mixture of distributions