渗透过渡和拓扑

IF 0.8 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Image Analysis & Stereology Pub Date : 2017-06-23 DOI:10.5566/IAS.1573

P. Jouannot-Chesney, J. Jernot, C. Lantuéjoul

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引用次数: 2

摘要

模拟了一些密度增加的二维随机结构，以探索欧拉-庞加莱特征(EPC)或连通性与渗透阈值之间的可能联系。对于每个结构模型，将渗透阈值与EPC曲线的一些典型点(极值点、零点点等)进行比较。从这些练习中可以得出结论，渗透阈值不能用EPC的演变来一般预测。

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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PERCOLATION TRANSITION AND TOPOLOGY

A number of bidimensional random structures with increasing densities are simulated to explore possible links between Euler-Poincare characteristic (EPC), or connectivity, and percolation threshold. For each structure model, the percolation threshold is compared with a number of typical points (extrema, zero crossings...) of the EPC curve. From these exercises, it can be concluded that the percolation threshold cannot be generally predicted using the evolution of the EPC.

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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.