Histogram modeling of polarimetric images for analysis of material properties

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