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ENTROPY VERSUS FRACTAL COMPLEXITY FOR COMPUTER-GENERATED COLOUR FRACTAL IMAGES

机译:熵对计算机生成的颜色分数图像的分形复杂性

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The complexity notion is shared between scientific fields associated to vision or surface assessment, especially non-uniform surfaces. Nevertheless, there is no single definition allowing comparing experimentally the perception induced by observing a colour textured surface, the measure extracted from the existing metrological tools or from image processing approaches. Among the existing definitions, entropy is often used as a measure directly correlated to the surface complexity. The fractal dimension associated to the auto-similarity property is well adapted for mathematical developments in image analysis and corresponds for some natural structures to the inner organization on several analysis scales. In the context of CIE TC 8-14 dedicated to the definition and assessment of the spatio-chromatic complexity, we are interested by the theoretical and experimental comparison of different ways to assess the complexity of colour textured surfaces. In this work, we compare the entropy against the fractal dimension for computer-generated fractal surface images.
机译:复杂性概念在与视觉或表面评估相关的科学领域之间共享,尤其是不均匀的表面。然而,没有单一的定义允许通过观察彩色纹理表面的实验进行比较,从现有的计量工具或图像处理方法中提取的度量。在现有定义中,熵通常用作与表面复杂性直接相关的措施。与自动相似性相关的分形尺寸很好地适用于图像分析中的数学发展,并对应于多个分析尺度的内部组织的一些自然结构。在CIE TC 8-14致力于对时空复杂性的定义和评估的情况下,我们赞同不同方式的理论和实验比较来评估颜色纹理表面的复杂性。在这项工作中,我们将熵与计算机生成的分形表面图像的分形维数进行比较。

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