用于形状分析的分支型材

Zayed M. Asiri, B. Martin, M. Bottema
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引用次数: 0

摘要

摘要-描述高度不规则形状物体的必要性出现在许多情况下,最突出的是在生物学和医学中,但也在物理科学和其他领域。本文提出了一种量化不规则结构分支水平的多尺度方法,以扩展形状描述符的范围。利用该方法对酵母菌落进行分类,并在不同实验条件下对大鼠新形成的松质骨进行结构分析。酵母菌落分类准确率为1.000 (n = 10),将新形成的松质骨分为3类,平均准确率为0.853±。在10次测试中,每次测试随机从相同的15只老鼠中抽取数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Branch Profiles for Shape Analysis
Ahstract- The necessity for characterising highly irregularly shaped objects appears in many circumstances, most prominently in biology and medicine, but also in physical sciences and elsewhere. Here, a multi-scale method for quantifying the level of branching in irregular structures is presented to extend the repertoire descriptors of shape. The method was used to classify strains of yeast colonies and to demonstrate differences in structure of newly formed cancellous bone in rats under various experimental conditions. Yeast colonies were classified with an accuracy of 1.000 (n = 10) and classification of newly formed cancellous bone into three classes achieved mean accuracy of 0.853 ±. 088 over 10 runs with data randomly sampled from the same 15 rats each run.
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