Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/43731
DC FieldValueLanguage
dc.contributor.authorLin, C.H.en_US
dc.contributor.author詹永寬zh_TW
dc.contributor.authorChen, K.H.en_US
dc.contributor.authorChan, Y.K.en_US
dc.date2006zh_TW
dc.date.accessioned2014-06-06T08:11:26Z-
dc.date.available2014-06-06T08:11:26Z-
dc.identifier.issn0302-9743zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/43731-
dc.description.abstractThis paper presents two image features, multi-orientation color complexity (MOCC) and color-space relation (CSR). MOCC refers to the color complexity. CSR concerns the spatial relations of similar color pixels in an image. By combining both features, an image retrieval system was developed. The experimental results revealed that such a system can perform expressively at accurate recognition rate. To further speed up this system, a clustering based filer was applied to quickly sieve out the most unqualified database images.en_US
dc.language.isoen_USzh_TW
dc.relationLecture Notes in Computer Scienceen_US
dc.relation.ispartofseriesLecture Notes in Computer Science, Volume 3984, Page(s) 384-393.en_US
dc.subjectsimilarityen_US
dc.titleA fast image retrieval system based on color-space and color-texture featuresen_US
dc.typeJournal Articlezh_TW
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextno fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
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