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Histogram modeling of polarimetric images for analysis of material properties

Zervakis Michail, Livanos Georgios, Giakos G. C.

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URIhttp://purl.tuc.gr/dl/dias/C42C840C-F84A-459F-B15B-3CDBBC71F814-
Identifierhttps://doi.org/10.1007/978-3-642-23508-5_99-
Identifierhttps://link.springer.com/chapter/10.1007/978-3-642-23508-5_99-
Languageen-
Extent4 pagesen
TitleHistogram modeling of polarimetric images for analysis of material propertiesen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorLivanos Georgiosen
CreatorΛιβανος Γεωργιοςel
CreatorGiakos G. C.en
PublisherSpringer Verlagen
Content SummaryContrast 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.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2012-
SubjectPolarimetric imagingen
SubjectDOPen
SubjectDegree-of-Polarizationen
SubjectOptically active moleculesen
SubjectHistogram fittingen
SubjectMixture of distributions en
Bibliographic CitationG. Livanos, M. Zervakis and G. C. Giakos, "Histogram modeling of polarimetric images for analysis of material properties," in 5th European Conference of the International Federation for Medical and Biological Engineering, 2012, pp. 381-384. doi: 10.1007/978-3-642-23508-5_99en

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