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首页> 外文期刊>Journal of University of Science and Technology Beijing >Optimization of fractal iterated function system(IFS)with probability and fractal image generation
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Optimization of fractal iterated function system(IFS)with probability and fractal image generation

机译:分形迭代函数系统(IFS)的概率和分形图像生成优化

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摘要

There are several methods for rendering fractal images based on IFS(Iterated Function System)in computer graphic; but one concern of the computer graphic community has been the efficiency rendering algorithms. the invariant measures arising from IFSP(It- erate Function System with Probability)using the probabilistic algorithm are also known as chaos games. The role of these probabilities to generate the image of the attractor has been investigated using a multi-fractal analysis. The conventional choice of probability associ- ated with each set |S| to generate the attractor in least time possible is introduced, then a new method based on the self similarity and multi-fractal analysis is presented. The efficiency of the new method has been proved over the conventional method.
机译:在计算机图形学中,有几种基于IFS(迭代功能系统)的分形图像渲染方法。但是计算机图形社区关注的一个问题是效率渲染算法。使用概率算法由IFSP(具有概率的迭代功能系统)产生的不变测度也称为混沌博弈。已使用多重分形分析研究了这些概率在生成吸引子图像中的作用。与每个集合| S |相关的常规概率选择介绍了一种在尽可能短的时间内生成吸引子的方法,然后提出了一种基于自相似性和多重分形分析的新方法。与传统方法相比,已经证明了该新方法的效率。

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