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dc.contributor.authorElbita, Abdulhakim M.*
dc.contributor.authorQahwaji, Rami S.R.*
dc.contributor.authorIpson, Stanley S.*
dc.contributor.authorSharif, Mhd Saeed*
dc.contributor.authorGhanchi, Faruque*
dc.date.accessioned2016-01-28T13:51:44Z
dc.date.available2016-01-28T13:51:44Z
dc.date.issued2014-04
dc.identifier.citationElbita A, Qahwaji RSR, Ipson SS, Sharif MS and Ghanchi F (2014) Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7730
dc.descriptionYesen_US
dc.description.abstractA confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, medical practioners can extract clinical information on the state of health of the patient's cornea. In this work we are addressing problems associated with capturing and processing these images including blurring, non-uniform illumination and noise, as well as the displacement of images laterally and in the anterior posterior direction caused by subject movement. The latter may cause some of the captured images to be out of sequence in terms of depth. In this paper we introduce automated algorithms for classification, reordering, registration and segmentation to solve these problems. The successful implementation of these algorithms could open the door for another interesting development, which is the 3D modelling of these sequences.en_US
dc.language.isoenen_US
dc.rights(c) 2014 Elsevier Ireland Ltd. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectArtificial neural networks; Confocal microscopy; Classification; Registration; Segmentation; Z-ring adapteren_US
dc.titlePreparation of 2D sequences of corneal images for 3D model buildingen_US
dc.status.refereedYesen_US
dc.date.Accepted2014-01-08
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
dc.identifier.doihttps://doi.org/10.1016/j.cmpb.2014.01.009
refterms.dateFOA2018-07-25T12:11:31Z


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