Logo image
Surface reconstruction of wheat leaf morphology from three-dimensional scanned data
Journal article   Open access   Peer reviewed

Surface reconstruction of wheat leaf morphology from three-dimensional scanned data

Daryl Matthew Kempthorne, Ian W Turner, John A Belward, Scott W McCue, Mark D Barry, Joseph Young, Gary J Dorr, Jim Hanan and Jerzy Zabkiewicz
Functional Plant Biology, Vol.42(5), pp.444-451
2015
pdf
PDF - Author's Accepted Version6.33 MBDownloadView
Accepted VersionPDF - Author Accepted Version Open Access
url
https://doi.org/10.1071/FP14058View
Published Version

Abstract

Plant Biology Biochemistry and Cell Biology Ecology virtual leaf construction wheat leaves finite-element methods discrete smoothing D2 splines image analysis
Realistic virtual models of leaf surfaces are important for a number of applications in the plant sciences, such as modelling agrichemical spray droplet movement and spreading on the surface. In this context, the virtual surfaces are required to be sufficiently smooth to facilitate the use of the mathematical equations that govern the motion of the droplet. While an effective approach is to apply discrete smoothing D2-spline algorithms to reconstruct the leaf surfaces from three-dimensional scanned data, difficulties arise when dealing with wheat leaves that tend to twist and bend. To overcome this topological difficulty, we develop a parameterisation technique that rotates and translates the original data, allowing the surface to be fitted using the discrete smoothing D2-spline methods in the new parameter space. Our algorithm uses finite element methods to represent the surface as a linear combination of compactly supported shape functions. Numerical results confirm that the parameterisation, along with the use of discrete smoothing D2-spline techniques, produces realistic virtual representations of wheat leaves.

Details

Metrics

31 File views/ downloads
354 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Plant Sciences
Logo image