Image indexing based on fractal feature

A texture image can be characterized by its fractal feature, and hence, the fractal features can be used as the texture signature to retrieve the images. In this paper, based on the independence of fractal parameters, we improve the three-dimensional histogram into a composite index, in order to reduce computational complexity. Furthermore, under the same computational cost, we make the comparison between the proposed composite index and fractal-dimension-related features, and experimental results on a database of 640 texture images indicate that the proposed composite index outperforms fractal-dimension-related features