Image Retrieval Based on Fractal Dictionary Parameters

Abstract EN

Content-based image retrieval is a branch of computer vision.

It is important for efficient management of a visual database.

In most cases, image retrieval is based on image compression.

In this paper, we use a fractal dictionary to encode images.

Based on this technique, we propose a set of statistical indices for efficient image retrieval.

Experimental results on a database of 416 texture images indicate that the proposed method provides a competitive retrieval rate, compared to the existing methods.