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Grouping And Indexing Color Features For Efficient Image Retrieval
2007
Zenodo
Content-based Image Retrieval (CBIR) aims at searching image databases for specific images that are similar to a given query image based on matching of features derived from the image content. This paper focuses on a low-dimensional color based indexing technique for achieving efficient and effective retrieval performance. In our approach, the color features are extracted using the mean shift algorithm, a robust clustering technique. Then the cluster (region) mode is used as representative of
doi:10.5281/zenodo.1331774
fatcat:l65nzj4pybekjkyrmd4id3o74a