A practical introduction to skeletons for the plant sciences1
A practical introduction to skeletons for the plant sciences1
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植物科学骨架的实用介绍1
DOI：
--
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发表时间：
2014
影响因子：
3.6
通讯作者：
N. Petrinic
中科院分区：
文献类型：
--
作者：
A. Pellegrino;F. De Cola;K. Dragnevski;N. Petrinic
在1969年由带电偶装置发明的数字摄影出现之前，对工厂建筑的测量要么是在工厂本身，要么是在传统的照片上。面向消费市场的廉价数字成像设备的引入使数字图像的广泛使用能够捕捉植物网络的形状，如根、树冠或叶脉。植物网络包含几何特征，可以建立与遗传或生理特征的联系，支持植物育种努力，推动进化研究，或作为植物生长模拟的输入。通常，特征被编码在形状描述符中，该描述符是根据成像数据计算得出的。骨架是一类形状描述符，用于描述分枝和环状植物网络的层次结构和程度。虽然对骨架的数学理解已经很成熟，但它们在植物科学中的应用仍然具有挑战性，因为测量的质量在一定程度上取决于对骨架的解释。这篇文章旨在通过讨论在植物网络中推导直径和近似分支层次的最佳实践，来连接植物科学和相关技术领域的骨架文献。
Before the availability of digital photography resulting from the invention of charged couple devices in 1969, the measurement of plant architecture was a manual process either on the plant itself or on traditional photographs. The introduction of cheap digital imaging devices for the consumer market enabled the wide use of digital images to capture the shape of plant networks such as roots, tree crowns, or leaf venation. Plant networks contain geometric traits that can establish links to genetic or physiological characteristics, support plant breeding efforts, drive evolutionary studies, or serve as input to plant growth simulations. Typically, traits are encoded in shape descriptors that are computed from imaging data. Skeletons are one class of shape descriptors that are used to describe the hierarchies and extent of branching and looping plant networks. While the mathematical understanding of skeletons is well developed, their application within the plant sciences remains challenging because the quality of the measurement depends partly on the interpretation of the skeleton. This article is meant to bridge the skeletonization literature in the plant sciences and related technical fields by discussing best practices for deriving diameters and approximating branching hierarchies in a plant network.