Precise segmentation of multi-modal images

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dc.contributor.author Farag, AA en
dc.contributor.author El-Baz, A en
dc.contributor.author Gimel'farb, Georgy en
dc.date.accessioned 2012-03-25T21:48:13Z en
dc.date.issued 2006 en
dc.identifier.citation IEEE Transactions on Image Processing 15(4):952-968 2006 en
dc.identifier.issn 1057-7149 en
dc.identifier.uri http://hdl.handle.net/2292/15238 en
dc.description.abstract New techniques for unsupervised segmentation of multimodal grayscale images are proposed such that each region-of-interest relates to a single dominant mode of the empirical marginal probability distribution of grey levels. en
dc.publisher IEEE en
dc.relation.ispartofseries IEEE Transactions on Image Processing en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/1057-7149/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Precise segmentation of multi-modal images en
dc.type Journal Article en
dc.identifier.doi 10.1109/TIP.2005.863949 en
pubs.issue 4 en
pubs.begin-page 952 en
pubs.volume 15 en
dc.rights.holder Copyright: Institute of Electrical and Electronics Engineers en
dc.identifier.pmid 16579381 en
pubs.end-page 968 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 70582 en
pubs.record-created-at-source-date 2010-09-01 en
pubs.dimensions-id 16579381 en


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