Silhouettes Based Evaluation of the Effectiveness in Image Retrieval

New tools for combining queries in a useful way are needed. The rise of multimedia data repositories is changing the way we look at the process of searching a particular piece of information, so we will be forced to change many of our usual concepts about database organization. Goal of this paper is to evaluate the retrieval performances of same well known methods, using the silhouettes based Jain’s approach. The low level features selected, typically used in automatic indexing, are angular spectrum, Gabor, Hough, and Tamura. The tests includes both natural and synthetic images. Key-words: Retrieval, similarity,Tversky, silhouette.

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