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Multifractal characterization of texture-based segmentation

机译:基于纹理的分割的多重分形表征

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One important applications of fractals is the field of image texture analysis. The main aspect of fractal geometry used in such application is the concept of fractal dimensions to characterize the texture scaling behavior. However, this identification with fractal makes sense only within certain limits. Moreover sets with the same fractal dimension may differ substantially in their structure. One proposition to handle this is to describe the set not only by one fractal dimension, but by a set of dimensions with their properties. We propose the characterization of multifractal set by the local Hausdorff dimension and two local box-counting dimensions. A new idea for Hausdorff dimension calculation of images is also presented.
机译:分形的重要应用之一是图像纹理分析领域。在这种应用中使用的分形几何学的主要方面是分形维数的概念,以表征纹理缩放行为。但是,这种分形识别仅在一定范围内才有意义。此外,具有相同分形维数的集合的结构可能会大不相同。解决这个问题的一个命题是不仅要用一个分形维数来描述该集合,还要用一组具有它们的属性的维来描述。我们建议通过局部Hausdorff维数和两个局部盒数维来表征多重分形集。还提出了Hausdorff图像尺寸计算的新思路。

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