Application of the kohonen network for automatic point correspondence in retinal images

Markaki, VE; Asvestas, PA; Matsopoulos, GK; Uzunoglu, NK

dc.contributor.author	Markaki, VE	en
dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Uzunoglu, NK	en
dc.date.accessioned	2014-03-01T02:44:28Z
dc.date.available	2014-03-01T02:44:28Z
dc.date.issued	2007	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31838
dc.subject	Retinal Imaging	en
dc.subject	Self Organized Map	en
dc.subject	Stochastic Optimization	en
dc.subject.other	Algorithms	en
dc.subject.other	Biological organs	en
dc.subject.other	Image registration	en
dc.subject.other	Optimization	en
dc.subject.other	Stochastic control systems	en
dc.subject.other	Existing algorithm	en
dc.subject.other	Stochastic optimization	en
dc.subject.other	Unimodal retinal pairs	en
dc.subject.other	Medical imaging	en
dc.title	Application of the kohonen network for automatic point correspondence in retinal images	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2007.4353840	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2007.4353840	en
heal.identifier.secondary	4353840	en
heal.publicationDate	2007	en
heal.abstract	In this paper, an algorithm for automatic point correspondence is proposed towards retinal image registration. Given a pair of corresponding retinal images and a set of bifurcations or other salient points in one of the images, the algorithm detects effectively the set of corresponding points in the second image, by exploiting the properties of Kohonen's Self Organizing Maps and embedding them in a stochastic optimization procedure. The proposed algorithm was tested on 20 unimodal retinal pairs and the obtained results show an enhanced performance in terms of accuracy and robustness compared to the existing algorithm, on which it is based. © 2007 IEEE.	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en
dc.identifier.doi	10.1109/IEMBS.2007.4353840	en
dc.identifier.volume	2007	en
dc.identifier.spage	6467	en
dc.identifier.epage	6470	en