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

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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 http://hdl.handle.net/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


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