Comparison of different global and local automatic registration schemes: An application to retinal images

Karali, E; Asvestas, P; Nikita, KS; Matsopoulos, GK

dc.contributor.author	Karali, E	en
dc.contributor.author	Asvestas, P	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Matsopoulos, GK	en
dc.date.accessioned	2014-03-01T02:42:32Z
dc.date.available	2014-03-01T02:42:32Z
dc.date.issued	2004	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31039
dc.subject	Cross Correlation	en
dc.subject	Mutual Information	en
dc.subject	Optimization Technique	en
dc.subject	Quantitative Evaluation	en
dc.subject	Retinal Imaging	en
dc.subject	Similarity Measure	en
dc.subject	Statistical Test	en
dc.subject	Gold Standard	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Algorithms	en
dc.subject.other	Angiography	en
dc.subject.other	Blood vessels	en
dc.subject.other	Diseases	en
dc.subject.other	Image analysis	en
dc.subject.other	Mathematical models	en
dc.subject.other	Ophthalmology	en
dc.subject.other	Optimization	en
dc.subject.other	Eye vessels	en
dc.subject.other	Image registration	en
dc.subject.other	Mutual information	en
dc.subject.other	Retinal images	en
dc.subject.other	Medical imaging	en
dc.title	Comparison of different global and local automatic registration schemes: An application to retinal images	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-30135-6_99	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-30135-6_99	en
heal.language	English	en
heal.publicationDate	2004	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. © Springer-Verlag Berlin Heidelberg 2004.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/978-3-540-30135-6_99	en
dc.identifier.isi	ISI:000224321100099	en
dc.identifier.volume	3216	en
dc.identifier.issue	PART 1	en
dc.identifier.spage	813	en
dc.identifier.epage	820	en