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dc.contributor.authorHernández Mesa, Pilar*
dc.date.accessioned2021-02-11T11:12:33Z
dc.date.available2021-02-11T11:12:33Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:01:59*
dc.identifier34821*
dc.identifier.issn21906629*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/44807
dc.description.abstractThe automatic retrieval of images according to the similarity of their content is a challenging task with many application fields. In this book the automatic retrieval of images according to human spontaneous perception without further effort or knowledge is considered. A system is therefore designed and analyzed. Methods for the detection and extraction of regions and for the extraction and comparison of color, shape, and texture features are also investigated.*
dc.languageEnglish*
dc.relation.ispartofseriesForschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie*
dc.subjectT1-995*
dc.subject.otherTexturmerkmale*
dc.subject.othercolor features*
dc.subject.othersimilarity comparisons*
dc.subject.otherInhaltsbasierte Bildsuche*
dc.subject.othertexture features*
dc.subject.otherFormmerkmale*
dc.subject.otherContent-based image retrieval*
dc.subject.otherform features*
dc.subject.otherÄhnlichkeitsvergleich*
dc.subject.otherFarbmerkmale*
dc.titleDesign and analysis of a content-based image retrieval system*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000071866*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783731506928*
oapen.pagesXVI, 237 p.*
oapen.volume16*


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