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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55875
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dc.contributor.authorWang, H.-
dc.contributor.authorSuter, D.-
dc.date.issued2003-
dc.identifier.citationInternational Conference on Digital Image Computing: Techniques and Applications (DICTA) 2003: pp.89-98-
dc.identifier.isbn064309041X-
dc.identifier.urihttp://hdl.handle.net/2440/55875-
dc.description.abstractThis paper proposes a new method of color image segmentation considering both global information and local homogeneity. The method applies the mean shift algorithm in the hue and intensity subspace of HSV. The cyclic property of the hue component is also considered in the proposed method. Experiments on natural color images show promising results.-
dc.description.statementofresponsibilityHanzi Wang and David Suter-
dc.description.urihttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.2219-
dc.language.isoen-
dc.publisherCSIRO Publishing-
dc.titleColor image segmentation using global information and local homogeneity-
dc.typeConference paper-
dc.contributor.conferenceDigital Image Computing: Techniques and Applications (2003 : Sydney, Australia)-
dc.publisher.placeSydney-
pubs.publication-statusPublished-
dc.identifier.orcidSuter, D. [0000-0001-6306-3023]-
Appears in Collections:Aurora harvest
Computer Science publications

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