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dc.contributor.author Fernando, PBC
dc.contributor.author Gunasekera, GSM
dc.contributor.author Gunasinghe, SR
dc.contributor.author Udawatta, L
dc.contributor.author De Silva, CR
dc.date.accessioned 2013-12-30T15:22:08Z
dc.date.available 2013-12-30T15:22:08Z
dc.date.issued 2007
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/9701
dc.description.abstract Given the limitations of human perceptions it would be impossible to classify the images manually. The IRIS (Image Retrieval and Indexing System for Data Mining) system that we have developed is a solution! to this problem. "QBIC" (Query by Image Content) system of IBM, "Content-Based Visual Query" Project of the University of Columbia as well as "CLUE" and "SIMPLIcity" of Pennsylvania State University are of considerable academic value. en_US
dc.language.iso en en_US
dc.title Image retrieval and indexing system for data mining en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.year 2007 en_US
dc.identifier.conference ERU Research for industry en_US
dc.identifier.pgnos 144-145 en_US
dc.identifier.proceeding Proceeding of the 13th annual symposium en_US


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