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dc.contributor.authorMariotti, Letizia
dc.contributor.authorDevaney, Nicholas
dc.date.accessioned2016-11-02T09:22:29Z
dc.date.available2016-11-02T09:22:29Z
dc.date.issued2015-04-01
dc.identifier.citationMariotti, Letizia, & Devaney, Nicholas. (2015). Performance analysis of cone detection algorithms. Journal of the Optical Society of America A, 32(4), 497-506. doi: 10.1364/JOSAA.32.000497en_IE
dc.identifier.issn1520-8532
dc.identifier.urihttp://hdl.handle.net/10379/6116
dc.description.abstractMany algorithms have been proposed to help clinicians evaluate cone density and spacing, as these may be related to the onset of retinal diseases. However, there has been no rigorous comparison of the performance of these algorithms. In addition, the performance of such algorithms is typically determined by comparison with human observers. Here we propose a technique to simulate realistic images of the cone mosaic. We use the simulated images to test the performance of two popular cone detection algorithms and we introduce an algorithm which is used by astronomers to detect stars in astronomical images. We use Free Response Operating Characteristic (FROC) curves to evaluate and compare the performance of the three algorithms. This allows us to optimize the performance of each algorithm. We observe that performance is signicantly enhanced by up-sampling the images. We investigate the eect of noise and image quality on cone mosaic parameters estimated using the dierent algorithms, nding that the estimated regularity is the most sensitive parameter.en_IE
dc.description.sponsorshipThe authors would like to thank the Irish Research Council (IRC) (GOIPG/2013/775) for financial supporten_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherOptical Society of Americaen_IE
dc.relation.ispartofJournal Of The Optical Society Of America A-Optics Image Scien
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectImage processingen_IE
dc.subjectOphthalmologyen_IE
dc.subjectActive or adaptive opticsen_IE
dc.subjectPhysicsen_IE
dc.titlePerformance analysis of cone detection algorithmsen_IE
dc.typeArticleen_IE
dc.date.updated2016-11-02T09:10:30Z
dc.identifier.doi10.1364/JOSAA.32.000497
dc.local.publishedsourcehttp://dx.doi.org/10.1364/JOSAA.32.000497en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|1267876|~|
dc.internal.rssid8518431
dc.local.contactNicholas Devaney, School Of Physics, Nuig. 5188 Email: nicholas.devaney@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland