Date Added: Aug 2010
Content Based Image Retrieval (CBIR) is the set of techniques for searching of similar images from an image database using automatically extracted image features such as color, shape and texture. Feature extraction is the fundamental step in the CBIR systems. In the proposed multiple classifier method best discriminating features are combined in order to improve the retrieval performance. In the proposed system three shape features and three texture features are combined. The best matched features are found using the Bipartite weighted graph and combined using the decision combination operators.