Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/38121
DC FieldValueLanguage
dc.contributor.authorLin, C.H.en_US
dc.contributor.author詹永寬zh_TW
dc.contributor.authorHuang, D.C.en_US
dc.contributor.authorChan, Y.K.en_US
dc.contributor.authorChen, K.H.en_US
dc.contributor.authorChang, Y.J.en_US
dc.contributor.author黃德成zh_TW
dc.date2011zh_TW
dc.date.accessioned2014-06-06T08:00:32Z-
dc.date.available2014-06-06T08:00:32Z-
dc.identifier.issn0957-4174zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/38121-
dc.description.abstractIn this paper, three types of image features are proposed to describe the color and spatial distributions of an image. In these features, the K-means algorithm is adopted to classify all of the pixels in an image into several clusters according to their colors. By measuring the spatial distance among the pixels in a same cluster, the three types of color spatial distribution (CSD) features of the image is obtained. Based on the three types of CSD features, three image retrieval methods are also provided. To accelerate the image retrieval methods, a fast filter is also presented to eliminate most undesired images in advance. A genetic algorithm is also given to decide the most suitable parameters which are used in the proposed image retrieval methods. The proposed image retrieval methods are simple. Moreover, the experiments show that the proposed methods can provide impressive results as well. (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USzh_TW
dc.relationExpert Systems with Applicationsen_US
dc.relation.ispartofseriesExpert Systems with Applications, Volume 38, Issue 9, Page(s) 11412-11420.en_US
dc.relation.urihttp://dx.doi.org/10.1016/j.eswa.2011.03.014en_US
dc.subjectColor-based image retrievalen_US
dc.subjectColor-histogramen_US
dc.subjectK-meansen_US
dc.subjectCBIRen_US
dc.subjectsegmentationen_US
dc.titleFast color-spatial feature based image retrieval methodsen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1016/j.eswa.2011.03.014zh_TW
item.grantfulltextnone-
item.fulltextno fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
crisitem.author.dept資訊科學與工程學系所-
crisitem.author.parentorg理學院-
Appears in Collections:資訊科學與工程學系所
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