Abstract
Similarity measurement is one of the key issues in content based image retrieval(CBIR). In this paper we present a novel method mutual information distance(MID) for image similarity measurement. With more emphasis on the joint entropy, MID is a simple modification of mutual information(MI) and is proved to satisfy the metric axiom, It has attractive properties as a similarity measurement. In theory, a metric measure is usually preferred over a non-metric measure. In practice, the experimental results demonstrate that the MID is more effective than the KL divergence.
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