Feature selection for image retrieval

A new image retrieval method based on dynamical interesting features selection is proposed. The method uses the Fisher discriminant criterion to dynamically select optimal interesting features from the images and uses them to retrieve the similar images in the database. Experimental results show that it has better retrieval performance than the DPF based and classical Minkowski distance based methods.