Comparison of different global and local automatic registration schemes

dc.contributor.author	Καραλή, 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	2015-02-07T17:47:54Z
dc.date.available	2015-02-07T17:47:54Z
dc.date.issued	2015-02-07
dc.identifier.uri	http://hdl.handle.net/11400/5804
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/	en
dc.subject	Automatic registration schemes
dc.subject	Optimization techniques
dc.subject	Αυτόματα συστήματα καταχώρισης
dc.subject	Τεχνικές βελτιστοποίησης
dc.title	Comparison of different global and local automatic registration schemes	en
heal.type	bookChapter
heal.secondaryTitle	an application to retinal images	en
heal.generalDescription	Proceedings	en
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.identifier.secondary	DOI 10.1007/978-3-540-30135-6_99
heal.language	en
heal.access	campus
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. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004: 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I. Christian, B., David, H. and Pierre, H. (eds.). pp. 813-820. Lecture Notes in Computer Science. vol. 3216. 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.fullTextAvailability	true
heal.bookName	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004	en