Rousseau David, Chéné Yann, Belin Etienne, Semaan Georges, Trigui Ghassen, Boudehri Karima, Franconi Florence, Chapeau-Blondeau François
Université de Lyon, Laboratoire CREATIS, CNRS, UMR5220, INSERM, U1044, Université Lyon 1, INSA-Lyon, Villeurbanne France.
Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, Angers, 49000 France.
Plant Methods. 2015 Feb 10;11:6. doi: 10.1186/s13007-015-0050-1. eCollection 2015.
We review a set of recent multiscale imaging techniques, producing high-resolution images of interest for plant sciences. These techniques are promising because they match the multiscale structure of plants. However, the use of such high-resolution images is challenging in the perspective of their application to high-throughput phenotyping on large populations of plants, because of the memory cost for their data storage and the computational cost for their processing to extract information. We discuss how this renews the interest for multiscale image processing tools such as wavelets, fractals and recent variants to analyse such high-resolution images.
我们回顾了一组近期的多尺度成像技术，这些技术能够生成植物科学领域感兴趣的高分辨率图像。这些技术很有前景，因为它们与植物的多尺度结构相匹配。然而，从将此类高分辨率图像应用于大量植物的高通量表型分析的角度来看，其使用具有挑战性，这是由于数据存储的内存成本以及处理图像以提取信息的计算成本。我们讨论了这如何重新激发了人们对多尺度图像处理工具（如小波、分形和近期变体）的兴趣，以分析此类高分辨率图像。
