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

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 acquisit...

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Detalles Bibliográficos
Autores principales: Perez-Sanz, Fernando, Navarro, Pedro J, Egea-Cortines, Marcos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737281/
https://www.ncbi.nlm.nih.gov/pubmed/29048559
http://dx.doi.org/10.1093/gigascience/gix092
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author Perez-Sanz, Fernando
Navarro, Pedro J
Egea-Cortines, Marcos
author_facet Perez-Sanz, Fernando
Navarro, Pedro J
Egea-Cortines, Marcos
author_sort Perez-Sanz, Fernando
collection PubMed
description 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.
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spelling pubmed-57372812018-01-08 Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms Perez-Sanz, Fernando Navarro, Pedro J Egea-Cortines, Marcos Gigascience Review 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. Oxford University Press 2017-10-03 /pmc/articles/PMC5737281/ /pubmed/29048559 http://dx.doi.org/10.1093/gigascience/gix092 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Perez-Sanz, Fernando
Navarro, Pedro J
Egea-Cortines, Marcos
Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
title Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
title_full Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
title_fullStr Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
title_full_unstemmed Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
title_short Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
title_sort plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737281/
https://www.ncbi.nlm.nih.gov/pubmed/29048559
http://dx.doi.org/10.1093/gigascience/gix092
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