由枯叶模型产生的一些密集的随机填料

IF 0.8 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Image Analysis & Stereology Pub Date : 2019-04-11 DOI:10.5566/IAS.2081

D. Jeulin

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引用次数: 4

摘要

枯叶模型的完整颗粒使我们能够生成无颗粒重叠的随机介质。利用具有凸粒的时间非均匀序列模型，理论上可以产生非常密集的填料，甚至可以完全覆盖空间。对于这些模型，给出了理论体积分数、晶粒尺寸分布和晶粒中心对相关函数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SOME DENSE RANDOM PACKINGS GENERATED BY THE DEAD LEAVES MODEL

The intact grains of the dead leaves model enables us to generate random media with non overlapping grains. Using the time non homogeneous sequential model with convex grains, theoretically very dense packings can be generated, up to a full covering of space. For these models, the theoretical volume fraction, the size distribution of grains, and the pair correlation function of centers of grains are given.

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来源期刊

Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.