Automatic retinal registration using global optimization techniques

Mouravliansky, N; Matsopoulos, G; Delibasis, K; Nikita, K

dc.contributor.author	Mouravliansky, N	en
dc.contributor.author	Matsopoulos, G	en
dc.contributor.author	Delibasis, K	en
dc.contributor.author	Nikita, K	en
dc.date.accessioned	2014-03-01T02:48:36Z
dc.date.available	2014-03-01T02:48:36Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33939
dc.subject	Function Optimization	en
dc.subject	Genetic Algorithm	en
dc.subject	Global Optimization	en
dc.subject	indocyanine green	en
dc.subject	Model Simulation	en
dc.subject	Retinal Imaging	en
dc.subject	Simulated Annealing	en
dc.subject	Transformation Model	en
dc.title	Automatic retinal registration using global optimization techniques	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.1998.745458	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.1998.745458	en
heal.publicationDate	1998	en
heal.abstract	A new automatic scheme to register retinal images is presented and is currently tested in a clinical environment. The scheme considers the suitability and efficiency of different image transformation models and function optimization techniques, following an initial preprocessing stage. Three different transformation models-Affine, Bilinear and Projective-as well as two global optimization techniques, Simulated Annealing and Genetic Algorithms-are investigated and compared	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology Society	en
dc.identifier.doi	10.1109/IEMBS.1998.745458	en