| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 529031 | Journal of Visual Communication and Image Representation | 2013 | 6 Pages |
It has been effectively proved that histogram of image fractal coding parameters can be used for image retrieval. In recent years, many researchers have paid more and more attention to this application of image fractal coding. In this paper, a new statistical method, based on kernel density estimation, is used for analyzing fractal coding parameters. The fractal signatures are then extracted for texture image retrieval. Experimental results show that the proposed method not only has higher retrieval rate but also faster retrieval speed than existing method.
► Kernel density estimation in fractal domain is proposed to analyze image features. ► We analyze the results and design retrieval index. ► Experimental results show higher retrieval rate and faster retrieval speed.
