A new method for image retrieval based on analyzing fractal coding characters

Authors:
Huang Xiaoqing;Zhang Qin;Liu Wenbo
Affiliations:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Venue:
Journal of Visual Communication and Image Representation
Year:
2013

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Abstract

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.