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Query-sensitive similarity measure for content-based image retrieval using meta-heuristic algorithm
Content based image retrieval (CBIR) systems retrieve images linked to the query image (QI) from enormous databases. The feature sets extracted by the present CBIR systems are limited. This limits the systems’ effectiveness. This study extracts expansively robust and important features from the imag...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2018-07-01
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| Schriftenreihe: | Journal of King Saud University: Computer and Information Sciences |
| Online Zugang: | http://www.sciencedirect.com/science/article/pii/S1319157817300022 |
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