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使用摄像机进行二维植物特征的精确测量:CASS。

Using Cameras for Precise Measurement of Two-Dimensional Plant Features: CASS.

机构信息

United States Department of Agriculture, Agricultural Research Service, Appalachian Fruit Research Station (USDA-ARS-AFRS), Kearneysville, WV, USA.

Electrical Engineering Department, Universidad Tecnológica de Pereira, Pereira, Colombia.

出版信息

Methods Mol Biol. 2022;2539:87-94. doi: 10.1007/978-1-0716-2537-8_10.

DOI:10.1007/978-1-0716-2537-8_10
PMID:35895199
Abstract

Images are used frequently in plant phenotyping to capture measurements. This chapter offers a repeatable method for capturing two-dimensional measurements of plant parts in field or laboratory settings using a variety of camera styles (cellular phone, DSLR), with the addition of a printed calibration pattern. The method is based on calibrating the camera using information available from the EXIF tags from the image, as well as visual information from the pattern. Code is provided to implement the method, as well as a dataset for testing. We include steps to verify protocol correctness by imaging an artifact. The use of this protocol for two-dimensional plant phenotyping will allow data capture from different cameras and environments, with comparison on the same physical scale. We abbreviate this method as CASS, CAmera aS Scanner.

摘要

图像在植物表型中被频繁用于捕获测量值。本章提供了一种可重复的方法,用于使用各种相机类型(手机、数码单反相机)在野外或实验室环境中捕获植物部分的二维测量值,并添加了打印的校准图案。该方法基于使用图像的 EXIF 标签中的可用信息以及图案的视觉信息来校准相机。我们提供了实现该方法的代码以及一个用于测试的数据集。我们还包括了通过对人工制品成像来验证协议正确性的步骤。该协议用于二维植物表型学,可以允许使用不同的相机和环境进行数据捕获,并在相同的物理尺度上进行比较。我们将这种方法简称为 CASS,即相机作为扫描仪。

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本文引用的文献

1
Image-based phenotyping for identification of QTL determining fruit shape and size in American cranberry ( L.).基于图像的表型分析用于鉴定决定美国蔓越莓果实形状和大小的数量性状位点。
PeerJ. 2018 Aug 15;6:e5461. doi: 10.7717/peerj.5461. eCollection 2018.
2
Topological Data Analysis as a Morphometric Method: Using Persistent Homology to Demarcate a Leaf Morphospace.作为一种形态测量方法的拓扑数据分析:利用持久同调划分叶片形态空间。
Front Plant Sci. 2018 Apr 25;9:553. doi: 10.3389/fpls.2018.00553. eCollection 2018.
3
Next-generation lineage discovery: A case study of tuberous Claytonia L.
下一代谱系发现:以块根卷耳属(Claytonia L.)为例
Am J Bot. 2018 Mar;105(3):536-548. doi: 10.1002/ajb2.1061. Epub 2018 Apr 19.
4
Morphometrics Reveals Complex and Heritable Apple Leaf Shapes.形态测量学揭示了复杂且可遗传的苹果叶形状。
Front Plant Sci. 2018 Jan 4;8:2185. doi: 10.3389/fpls.2017.02185. eCollection 2017.
5
Digital Morphometrics of Two North American Grapevines (: Vitaceae) Quantifies Leaf Variation between Species, within Species, and among Individuals.两种北美葡萄(葡萄科)的数字形态测量量化了物种间、物种内和个体间的叶片差异。
Front Plant Sci. 2017 Mar 17;8:373. doi: 10.3389/fpls.2017.00373. eCollection 2017.
6
Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics.根系性状的数字成像(DIRT):一个用于田间根系表型组学的高通量计算与协作平台。
Plant Methods. 2015 Nov 2;11:51. doi: 10.1186/s13007-015-0093-3. eCollection 2015.
7
A Versatile Phenotyping System and Analytics Platform Reveals Diverse Temporal Responses to Water Availability in Setaria.多功能表型系统和分析平台揭示了谷子对水分可用性的多样化时间响应。
Mol Plant. 2015 Oct 5;8(10):1520-35. doi: 10.1016/j.molp.2015.06.005. Epub 2015 Jun 20.