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植物表型组学:图像采集技术和图像数据分析算法概述。

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.

机构信息

Genetics, ETSIA, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.

Genetics, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, Campus Muralla del Mar, s/n, Cartagena 30202, Spain.

出版信息

Gigascience. 2017 Nov 1;6(11):1-18. doi: 10.1093/gigascience/gix092.

Abstract

The study of phenomes or phenomics has been a central part of biology. The field of automatic phenotype acquisition technologies based on images has seen an important advance in the last years. As with other high-throughput technologies, it addresses a common set of problems, including data acquisition and analysis. In this review, we give an overview of the main systems developed to acquire images. We give an in-depth analysis of image processing with its major issues and the algorithms that are being used or emerging as useful to obtain data out of images in an automatic fashion.

摘要

表型组学或表型组研究一直是生物学的核心部分。近年来,基于图像的自动表型获取技术领域取得了重要进展。与其他高通量技术一样,它解决了一组共同的问题,包括数据采集和分析。在这篇综述中,我们概述了开发用于获取图像的主要系统。我们深入分析了图像处理及其主要问题,以及正在使用或作为有用的算法,以自动方式从图像中获取数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d445/5737281/926ae1f90b82/gix092fig1.jpg

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