Fourier Fractal Descriptors for Colored Texture Analysis

This work proposes the use of a texture descriptor based on the Fourier fractal dimension applied to the analysis of colored textures. The technique consists in the transform of the color space of the texture through a colorimetry approach followed by the extraction of fractal descriptors from each transformed color channell. The fractal descriptors are obtained from the Fourier fractal dimension of the texture. The descriptors are finally concatenated, composing the complete descriptors. The performance of the proposed technique is compared to the classical chromaticity moment and the state-of-the-art multispectral Gabor filters in the classification of samples from the VisTex dataset.