Comparison of different global and local automatic registration schemes

dc.contributor.author	Κάραλη, Ευαγγελία	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Νικήτα, Κωνσταντίνα Σ.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.date.accessioned	2015-01-13T15:12:09Z
dc.date.available	2015-01-13T15:12:09Z
dc.date.issued	2015-01-13
dc.identifier.uri	http://hdl.handle.net/11400/3937
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	Springer-Verlag	en
dc.subject	Registration schemes
dc.subject	Optimization techniques
dc.subject	Συστήματα καταχώρισης
dc.subject	Τεχνικές βελτιστοποίησης
dc.title	Comparison of different global and local automatic registration schemes	en
heal.type	journalArticle
heal.secondaryTitle	an application to retinal images	el
heal.generalDescription	Lecture Notes in Computer Science, Book Subtitle 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I	en
heal.classification	Medicine
heal.classification	Ophthalmology
heal.classification	Ιατρική
heal.classification	Οφθαλμολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85095071
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Οφθαλμολογία
heal.identifier.secondary	DOI 10.1007/978-3-540-30135-6_99
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2004
heal.bibliographicCitation	Karali, E., Asvestas, P., Nikita, K. and Matsopoulos, G. (2004). Comparison of different global and local automatic registration schemes: an application to retinal images. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. vol. 3216. pp. 813-820. Springer Berlin Heidelberg. Available from: http://link.springer.com	en
heal.abstract	In this paper, different global and local automatic registration schemes are compared in terms of accuracy and efficiency. The accuracy of different optimization strategies based on a variety of similarity measures (cross-correlation, mutual information coefficient or chamfer distance) is assessed by means of statistical tests. Results from every optimization procedure are quantitatively evaluated with respect to the gold-standard (manual) registration. The comparison has shown that chamfer distance is a robust and fast similarity measure that can be successfully combined with common optimization techniques in retinal image registration applications.	en
heal.publisher	Springer Berlin Heidelberg	en
heal.journalName	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true