碎形轮:秩序,混乱和艺术
John McDonough1, Andrzej Herczyński1
1Department of Physics, Boston College, Chestnut Hill, Massachusetts 02467, USA.
Chaos (Woodbury, N.Y.)
|June 10, 2024
概括
这项研究引入了一种新的方法,用于分析使用碎形轮的艺术品复杂性,为单个碎形指数提供了更强大的替代方案. 这种方法为图像表征提供了详细,连续的功能,改善了艺术品的分类.
科学领域:
- 艺术分析 艺术分析
- 计算几何学计算几何学
- 图像处理 图像处理
背景情况:
- 传统方法使用单个参数,如分形维度来描述艺术品的复杂性.
- 这些方法通常依赖于将数据与非线性缩放图相匹配,从而导致不准确.
- 现有的碎形分析技术对方法选择和图像导向敏感.
研究的目的:
- 开发一种更强大,更有区别的方法来分析艺术品的结构和拓特性.
- 从缩放图中提取相关信息,而不依赖于配套程序.
- 使用连续函数来描述图像,分形轮,而不是单个指数.
主要方法:
- 在每个尺度上对所有可能的网格位置进行平均,以确保扩展图案独立于网格选择和图像方向.
- 计算缩放图的导数,为每个图像生成连续的碎形轮.
- 在合成图像,算法碎形和现代大师的艺术品上测试该方法.
主要成果:
- 拟议的方法产生了强大的缩放图,独立于网格方向.
- 碎形轮提供了比单个碎形指数更详细的表征.
- 该方法成功地区分了不同类型的图像,包括复杂的艺术品.
结论:
- 分形轮方法为分析艺术品复杂性和拓学提供了更具歧视性的方法.
- 这种技术克服了传统单参数碎形分析的局限性.
- 该方法在艺术分类和理解艺术风格方面具有潜在的应用.
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