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Fractal capacity dimension of three-dimensional histogram from color images

机译:彩色图像三维直方图的分形能力维数

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摘要

To contribute to the important task of characterizing the complex multidimensional structure of natural images, a fractal characterization is proposed for the colorimetric organization of natural color images. This is realized from their three-dimensional RGB color histogram, by applying a box-counting procedure to assess the dimensionality of its support. Regular scaling emerges, almost linear over the whole range of accessible scales, and with non-integer slope in log-log allowing the definition of a capacity dimension for the histogram. This manifests a fractal colorimetric organization with a self-similar structure of the color palette typically composing natural images. Such a fractal characterization complements other previously known fractal properties of natural images, some reported recently in their colorimetric organization, and others reported more classically in their spatial organization. Such fractal multiscale features uncovered in natural images provide helpful clues relevant to image modeling, processing and visual perception.
机译:为了对表征自然图像的复杂多维结构的重要任务做出贡献,提出了对自然彩色图像的比色组织进行分形表征的方法。这是通过使用三维计数程序评估其支撑的尺寸,从其三维RGB颜色直方图实现的。出现规则缩放,在可访问缩放的整个范围内几乎都是线性的,并且对数对数具有非整数斜率,从而可以定义直方图的容量维度。这表明分形比色组织具有通常构成自然图像的调色板的自相似结构。这种分形特征补充了自然图像的其他先前已知的分形特性,其中一些最近以其比色组织进行了报道,而另一些则以其空间组织来进行了更为经典的报道。自然图像中未发现的这种分形多尺度特征提供了与图像建模,处理和视觉感知有关的有用线索。

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