2.50
Hdl Handle:
http://hdl.handle.net/2336/82854
Title:
Automatic registration of retina images based on genetic techniques.
Authors:
Troglio, G; Benediktsson, J A; Serpico, S B; Moser, G; Karlsson, R A; Halldorsson, G H; Stefansson, E
Citation:
Conf Proc IEEE Eng Med Biol Soc. 2008, 2008:5419-24
Issue Date:
Aug-2008
Abstract:
The aim of this paper is to develop an automatic method for the registration of multitemporal digital images of the fundus of the human retina. The images are acquired from the same patient at different times by a color fundus camera. The proposed approach is based on the application of global optimization techniques to previously extracted maps of curvilinear structures in the images to be registered (such structures being represented by the vessels in the human retina): in particular, a genetic algorithm is used, in order to estimate the optimum transformation between the input and the base image. The algorithm is tested on two different types of data, gray scale and color images, and for both types, images with small changes and with large changes are used. The comparison between the registered images using the implemented method and a manual one points out that the proposed algorithm provides an accurate registration. The convergence to a solution is not possible only when dealing with images taken from very different view-points.
Description:
To access publisher full text version of this article. Please click on the hyperlink in Additional Links field
Additional Links:
http://dx.doi.org/10.1109/IEMBS.2008.4650440

Full metadata record

DC FieldValue Language
dc.contributor.authorTroglio, Gen
dc.contributor.authorBenediktsson, J Aen
dc.contributor.authorSerpico, S Ben
dc.contributor.authorMoser, Gen
dc.contributor.authorKarlsson, R Aen
dc.contributor.authorHalldorsson, G Hen
dc.contributor.authorStefansson, Een
dc.date.accessioned2009-09-28T13:32:53Z-
dc.date.available2009-09-28T13:32:53Z-
dc.date.issued2008-08-
dc.date.submitted2009-09-28-
dc.identifier.citationConf Proc IEEE Eng Med Biol Soc. 2008, 2008:5419-24en
dc.identifier.issn1557-170X-
dc.identifier.pmid19163943-
dc.identifier.doi10.1109/IEMBS.2008.4650440-
dc.identifier.urihttp://hdl.handle.net/2336/82854-
dc.descriptionTo access publisher full text version of this article. Please click on the hyperlink in Additional Links fielden
dc.description.abstractThe aim of this paper is to develop an automatic method for the registration of multitemporal digital images of the fundus of the human retina. The images are acquired from the same patient at different times by a color fundus camera. The proposed approach is based on the application of global optimization techniques to previously extracted maps of curvilinear structures in the images to be registered (such structures being represented by the vessels in the human retina): in particular, a genetic algorithm is used, in order to estimate the optimum transformation between the input and the base image. The algorithm is tested on two different types of data, gray scale and color images, and for both types, images with small changes and with large changes are used. The comparison between the registered images using the implemented method and a manual one points out that the proposed algorithm provides an accurate registration. The convergence to a solution is not possible only when dealing with images taken from very different view-points.en
dc.language.isoenen
dc.relation.urlhttp://dx.doi.org/10.1109/IEMBS.2008.4650440en
dc.subject.meshAlgorithmsen
dc.subject.meshArtificial Intelligenceen
dc.subject.meshColorimetryen
dc.subject.meshHumansen
dc.subject.meshImage Enhancementen
dc.subject.meshImage Interpretation, Computer-Assisteden
dc.subject.meshPattern Recognition, Automateden
dc.subject.meshReproducibility of Resultsen
dc.subject.meshRetinal Vesselsen
dc.subject.meshRetinoscopyen
dc.subject.meshSensitivity and Specificityen
dc.subject.meshSubtraction Techniqueen
dc.titleAutomatic registration of retina images based on genetic techniques.en
dc.typeArticleen
dc.contributor.departmentUniversity of Genoa, Dept. of Biophysical and Electronic Eng. (DIBE), Via Opera Pia 11a, I-16145, Italy. vulcano@dibe.unige.iten
dc.identifier.journalConference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conferenceen

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