Fractal Descriptors Based on Fourier Spectrum Applied to Texture Analysis
This is an incremental improvement for texture analysis in fields like image processing, offering a new method for generating fractal descriptors.
The authors tackled texture classification by developing fractal descriptors derived from a multiscale transform of the Fourier spectrum, achieving results that confirm the method's efficiency compared to existing fractal descriptors.
This work proposes the development and study of a novel technique for the generation of fractal descriptors used in texture analysis. The novel descriptors are obtained from a multiscale transform applied to the Fourier technique of fractal dimension calculus. The power spectrum of the Fourier transform of the image is plotted against the frequency in a log- log scale and a multiscale transform is applied to this curve. The obtained values are taken as the fractal descriptors of the image. The validation of the propose is performed by the use of the descriptors for the classification of a dataset of texture images whose real classes are previously known. The classification precision is compared to other fractal descriptors known in the literature. The results confirm the efficiency of the proposed method.