Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1177
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dc.contributorDepartment of Computing-
dc.creatorLi, Q-
dc.creatorYou, J-
dc.creatorZhang, L-
dc.creatorZhang, DD-
dc.creatorBhattacharya, P-
dc.date.accessioned2014-12-11T08:27:11Z-
dc.date.available2014-12-11T08:27:11Z-
dc.identifier.isbn0-7695-2521-0-
dc.identifier.urihttp://hdl.handle.net/10397/1177-
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.rights© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectComputer aided analysisen_US
dc.subjectImage analysisen_US
dc.subjectImage reconstructionen_US
dc.subjectImage segmentationen_US
dc.subjectMedical imagingen_US
dc.titleA new approach to automated retinal vessel segmentation using multiscale analysisen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: David Zhangen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractComputer based analysis for automated segmentation of blood vessels in retinal images will help eye care specialists screen larger populations for vessel abnormalities. However, automated retinal segmentation is complicated by the fact that the width of retinal vessels can vary from very large to very small, and that the local contrast of vessels is unstable, especially in unhealthy ocular fundus. We propose a novel method that takes these facts into account. Our method includes a multiscale analytical scheme using Gabor filters and scale production, and a threshold probing technique utilizing the features of retinal vessel network. Our method is good for detecting large and small vessels concurrently. It also offers an efficient way to denoise and enhance the responses of line filters, allowing the detection of vessels with low local contrast.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe 18th International Conference on Pattern Recognition : 20-24 August, 2006, Hong Kong : proceedings, v. 4, p. 77-80-
dcterms.issued2006-
dc.identifier.isiWOS:000240707600020-
dc.identifier.scopus2-s2.0-34147134980-
dc.identifier.rosgroupidr32191-
dc.description.ros2006-2007 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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