Multiscale imaging of plants: current approaches and challenges

David Rousseau (1) , Yann Chéné (2) , Etienne Belin (2) , Georges Semaan (2) , G. Trigui (3) , K. Boudehri (3) , Florence Franconi (4) , François Chapeau-Blondeau (2)

1 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
2 LARIS - Laboratoire Angevin de Recherche en Ingénierie des Systèmes
3 GEVES Station nationale d'essais de semences
4 PIAM - Plateforme d'Ingénierie et d'Analyses Moléculaires

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.

Mots clés: Fractal; Wavelets; Mutiscale imaging; ImageJ plugins; Multiscale filtering

Domaines: Sciences de l'ingénieur [physics]; Traitement du signal et de l'image [eess.SP]

David Rousseau, Yann Chéné, Etienne Belin, Georges Semaan, G. Trigui, et al.. Multiscale imaging of plants: current approaches and challenges. Plant Methods, 2015, 11, pp.6. ⟨10.1186/s13007-015-0050-1⟩. ⟨hal-01392050⟩