Fractals everywhere
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Fractal image compression: theory and application
Fractal image compression: theory and application
Spatial Color Indexing and Applications
International Journal of Computer Vision
Wavelet correlogram: A new approach for image indexing and retrieval
Pattern Recognition
A review of the fractal image coding literature
IEEE Transactions on Image Processing
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In this paper, we propose a novel image feature representation method using fractal codes and its application to image retrieval. A fractal code consists of contractive affine mappings; each mapping represents a similarity relation between two regions in an image. A fractal-coded image is composed of a set of fractal codes. In the encoding process, the region sizes in the fractal codes tend to reflect the local features in the original image. We propose a method to represent this size as a feature image termed as a ‘DR image'. We also propose an efficient retrieval method using correlograms of DR images. This retrieval method is an application of DR images and can be used in the compressed domain. The effectiveness of the proposed methods have been illustrated by several experiments using an image database released on the Internet.