A color image segmentation approach for content-based image retrieval

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dc.contributor.authorÖzden, Mustafa
dc.contributor.authorPolat, Ediz
dc.date.accessioned2020-06-25T17:43:54Z
dc.date.available2020-06-25T17:43:54Z
dc.date.issued2007
dc.description.abstractThis paper describes a new color image segmentation method based on low-level features including color, texture and spatial information. The mean-shift algorithm with color and spatial information in color image segmentation is in general successful, however, in some cases, the color and spatial information are not sufficient for superior segmentation. The proposed method addresses this problem and employs texture descriptors as an additional feature. The method uses wavelet frames that provide translation invariant texture analysis. The method integrates additional texture feature to the color and spatial space of standard mean-shift segmentation algorithm. The new algorithm with high dimensional extended feature space provides better results than standard mean-shift segmentation algorithm as shown in experimental results. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.patcog.2006.08.013
dc.identifier.endpage1325en_US
dc.identifier.issn0031-3203
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-33845458069
dc.identifier.scopusqualityQ1
dc.identifier.startpage1318en_US
dc.identifier.urihttps://doi.org10.1016/j.patcog.2006.08.013
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3937
dc.identifier.volume40en_US
dc.identifier.wosWOS:000243766700014
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofPattern Recognition
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectimage segmentationen_US
dc.subjectmean-shift algorithmen_US
dc.subjectdiscrete wavelet framesen_US
dc.subjecttexture segmentationen_US
dc.titleA color image segmentation approach for content-based image retrievalen_US
dc.typeArticle

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