独立样本和相关样本分形维数的极大似然估计分析

2016 5th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2016-06-12 DOI:10.1109/MECO.2016.7525732

A. Parshin, Y. Parshin

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引用次数: 2

摘要

本文描述了分形维数估计的算法。在伪相空间中分别考虑矢量的独立样本和相关样本的有效性。计算了相关样本的相关维数估计表达式。考虑了样品排序的方法。提出了这些算法在纹理处理中的应用。

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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Analysis of maximum likelihood estimation of fractal dimension by independent and dependent samples

Paper describes algorithms of the fractal dimension estimation. Their effectiveness is considered in condition of independent and dependent samples of vectors in pseudophase space. Expression for the correlation dimension estimate for dependent samples is calculated. Ways of sample ordering are considered. Appliance of these algorithms for textural processing is proposed.

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2016 5th Mediterranean Conference on Embedded Computing (MECO)

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