PlantCV v2: Image analysis software for high-throughput plant phenotyping.
PlantCV v2: Image analysis software for high-throughput plant phenotyping.
复制标题
作者：
Gehan MA;Fahlgren N;Abbasi A;Berry JC;Callen ST;Chavez L;Doust AN;Feldman MJ;Gilbert KB;Hodge JG;Hoyer JS;Lin A;Liu S;Lizárraga C;Lorence A;Miller M;Platon E;Tessman M;Sax T
结合计算机视觉技术收集图像数据的系统是一个强大的工具，用于提高时间分辨率，在该时间分辨率下可以非破坏性地测量植物表型。需要灵活和可扩展的计算工具来解决植物表型问题的多样性。我们先前描述了植物计算机视觉（PlantCV）软件包，其是用于植物表型分析的图像处理工具包。PlantCV项目的目标是开发一套用于植物图像分析的模块化、可重用和可重用工具，这些工具是开源和社区开发的。在这里，我们介绍了PlantCV第二个主要版本中主要开发的细节和原理。除了对PlantCV项目的组织进行全面改进外，新功能还包括一组新的图像处理和标准化工具，支持分析包含多个植物的图像，叶片分割，用于形态测量的地标识别工具以及机器学习模块。
Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that are flexible and extendable are needed to address the diversity of plant phenotyping problems. We previously described the Plant Computer Vision (PlantCV) software package, which is an image processing toolkit for plant phenotyping analysis. The goal of the PlantCV project is to develop a set of modular, reusable, and repurposable tools for plant image analysis that are open-source and community-developed. Here we present the details and rationale for major developments in the second major release of PlantCV. In addition to overall improvements in the organization of the PlantCV project, new functionality includes a set of new image processing and normalization tools, support for analyzing images that include multiple plants, leaf segmentation, landmark identification tools for morphometrics, and modules for machine learning.
登录
查看更多内容
影响因子：
5.1
作者：
Lobet G;Draye X;Périlleux C
通讯作者：
Périlleux C
影响因子：
3
作者：
Acosta-Gamboa, Lucia M.;Liu, Suxing;Lorence, Argelia
通讯作者：
Lorence, Argelia
影响因子：
1.5
作者：
Gunz, Philipp;Mitteroecker, Philipp
通讯作者：
Mitteroecker, Philipp
影响因子：
9.5
作者：
Mangalam, Harry
通讯作者：
Mangalam, Harry
影响因子：
27.5
作者：
Fahlgren, Noah;Feldman, Maximilian;Baxter, Ivan
通讯作者：
Baxter, Ivan