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dc.contributor.author Λιβανός, Γεώργιος Α. el
dc.contributor.author Ζερβάκης, Μιχάλης Ε. el
dc.contributor.author Γιάκος, Γιώργος el
dc.date.accessioned 2015-06-03T21:53:16Z
dc.date.available 2015-06-03T21:53:16Z
dc.date.issued 2015-06-04
dc.identifier.uri http://hdl.handle.net/11400/15019
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.source http://link.springer.com/chapter/10.1007%2F978-3-642-23508-5_99 en
dc.subject Βαθμός πόλωσης
dc.subject ιστόγραμμα τοποθέτησης
dc.subject μίγμα των διανομών
dc.subject Οπτικώς ενεργά μόρια
dc.subject Πολωσιμετρική απεικόνιση
dc.subject Degree of polarization
dc.subject histogram fitting
dc.subject mixture of distributions
dc.subject Optically active molecules
dc.subject Polarimetric imaging
dc.title Histogram modeling of polarimetric images for analysis of material properties en
heal.type conferenceItem
heal.classification Πληροφορική
heal.classification Μηχανική υπολογιστών
heal.classification Computer science
heal.classification Computer engineering
heal.classificationURI **N/A**-Πληροφορική
heal.classificationURI **N/A**-Μηχανική υπολογιστών
heal.classificationURI http://skos.um.es/unescothes/C00750
heal.classificationURI http://id.loc.gov/authorities/subjects/sh85029495
heal.identifier.secondary DOI: 10.1007/978-3-642-23508-5_99
heal.language en
heal.access campus
heal.recordProvider Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Ναυπηγών Μηχανικών Τ.Ε. el
heal.publicationDate 2011-09-14
heal.bibliographicCitation Livanos, G., Zervakis, M. and Giakos, G.C. (2011) Histogram modeling of polarimetric images for analysis of material properties. IFMBE Proceedings. 5th European Conference of the International Federation for Medical and Biological Engineering. 37, pp.381-384. Budapest, Hungary: Springer Berlin Heidelberg en
heal.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. en
heal.publisher Springer Berlin Heidelberg en
heal.fullTextAvailability true
heal.conferenceName 5th European Conference of the International Federation for Medical and Biological Engineering en
heal.conferenceItemType full paper


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες