Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/3932
Title: Application of the Kohonen network for automatic point correspondence in retinal images
Authors: Μαρκάκη, Βασιλική Ε.
Ασβεστάς, Παντελής Α.
Ματσόπουλος, Γεώργιος Κ.
Ουζούνογλου, Νικόλαος Κ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Eye--Muscles--Abnormalities;Image registration;Μάτι;Εγγραφή εικόνας
Subjects: Medicine
Ophthalmology
Ιατρική
Οφθαλμολογία
Issue Date: 13-Jan-2015
2007
Publisher: IEEE
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.
Description: Proceedings
Language: English
Citation: Markaki, V., Asvestas, P., Matsopoulos, G. and Uzunoglou, N. (2007). Application of the Kohonen network for automatic point correspondence in retinal images. In the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Lyon, 22th-26th August 2007. pp. 6467 - 6470. IEEE.
Conference: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/3932
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