Textures in images classification using a multifractal approach
نویسندگان
چکیده
Since ten years, the multifractal analysis represents an original tool in signal and especially image processing. The multifractal methods in texture analysis are becoming efficient due to multifractal modelling and powerful methods in estimation of irregularities functions (exponent of Hölder) and multifractal spectrum. In this respect, we propose a multifractal approach for textural characterization which is based on smoothing Hausdorff multifractal spectrum and by pre-processing that makes the analysis possible and enables us to keep the most important information. This method is a way to extend the one proposed by Piotr & Al [1] for textural analysis that processes in analyzing the form and the position of the Legendre multifractal spectrum. Therefore, our method has the advantage to use the Hausdorff multifractal spectrum which provides the best estimation of the fractal dimension related to the differents fractalities recovering the image. Key word: multifractal analysis, smoothing, Hausdorff spectrum, texture analysis.
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