A two-step registration-classification approach to automated segmentation of multimodal images for high-throughput greenhouse plant phenotyping

Abstract Background Automated segmentation of large amount of image data is one of the major bottlenecks in high-throughput plant phenotyping. Dynamic optical appearance of developing plants, inhomogeneous scene illumination, shadows and reflections in plant and background regions complicate automat...

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Bibliografiske detaljer

Principais autores:	Michael Henke, Astrid Junker, Kerstin Neumann, Thomas Altmann, Evgeny Gladilin
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2020-07-01
Serier:	Plant Methods
Fag:	Greenhouse plant phenotyping Visible light imaging Fluorescence imaging Multimodal image alignment Supervised image segmentation Machine learning
Online adgang:	http://link.springer.com/article/10.1186/s13007-020-00637-x
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