Advertisement

Histogram Modeling of Polarimetric Images for Analysis of Material Properties

  • G. Livanos
  • M. Zervakis
  • G. C. Giakos
Part of the IFMBE Proceedings book series (IFMBE, volume 37)

Abstract

Contrast 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.

Keywords

Polarimetric imaging Degree-of-Polarization (DOP) optically active molecules histogram fitting mixture of distributions 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • G. Livanos
    • 1
  • M. Zervakis
    • 1
  • G. C. Giakos
    • 2
    • 3
  1. 1.Department of Electronic and Computer EngineeringTechnical University of CreteChaniaGreece
  2. 2.Department of Electrical and Computer EngineeringThe University of AkronAkronUSA
  3. 3.Department of Biomedical EngineeringThe University of AkronAkronUSA

Personalised recommendations