Image retrieval and indexing system for data mining
| 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.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.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 |
| dc.identifier.uri | http://dl.lib.mrt.ac.lk/handle/123/9701 | |
| dc.identifier.year | 2007 | 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 |
