Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/9680
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dc.contributor.authorChaira, Tamalika-
dc.date.accessioned2010-06-04T06:57:15Z-
dc.date.available2010-06-04T06:57:15Z-
dc.date.issued2010-06-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/9680-
dc.description426-432en_US
dc.description.abstractAn improvised technique is proposed in detecting and extracting color regions of an image using intuitionistic fuzzy set (IFS)theory. This will be very useful especially for remotely sensed images where different types of regions (agricultural, watery, orvolcanic) are to be extracted. Comparing with non-fuzzy and fuzzy method, results of an extracted image were found better dueto consideration of uncertainty in the form of a hesitation degree while defining membership function in IFS.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceJSIR Vol.69(06) [June 2010]en_US
dc.subjectHesitation degreeen_US
dc.subjectHistogram back projectionen_US
dc.subjectIntuitionistic fuzzy seten_US
dc.subjectMembership functionen_US
dc.subjectRegion extractionen_US
dc.titleIntuitionistic fuzzy set approach for color region extractionen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.69(06) [June 2010]

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