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dc.contributor.authorCorcoran, Peter
dc.date.accessioned2014-01-24T13:55:48Z
dc.date.available2014-01-24T13:55:48Z
dc.date.issued2001-06-09
dc.identifier.citationDrimbarean, A.F. and Corcoran, P.M. and Cuic, M. and Buzuloiu, V. (2001) Image processing techniques to detect and filter objectionable images based on skin tone and shape recognition Consumer Electronics, 2001. ICCE. International Conference onen_US
dc.identifier.urihttp://hdl.handle.net/10379/4026
dc.description.abstractIn this paper we describe image-processing techniques to detect and categorize potentially objectionable images based solely on the image content. The techniques include a novel method of matching skin tones based on a fuzzy classification scheme and shape recognition techniques to match faces and other elements of the human anatomy. In particular the color matching technique is significantly more accurate than existing methods documented in literature. These techniques offer a means of filtering images, based solely on graphical content, for a new generation of home Internet appliances.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofConsumer Electronics, 2001. ICCE. International Conference onen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectImage processingen_US
dc.subjectSkin tonesen_US
dc.titleImage processing techniques to detect and filter objectionable images based on skin tone and shape recognitionen_US
dc.typeConference Paperen_US
dc.date.updated2013-10-24T15:55:26Z
dc.local.publishedsourcehttp://dx.doi.org/10.1109/ICCE.2001.935309en_US
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funder|~|
dc.internal.rssid1286469
dc.local.contactPeter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland