Surface fitting methods for modelling leaf surface from scanned data
Modelling leaves accurately is important in the improvement of a virtual plant model. Therefore an accurate illustration of the leaves are important which can be achieve via mathematical models. These models can be used to study biological procedures for instance, a canopy light environment or photo...
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Published in | Journal of King Saud University. Science Vol. 31; no. 2; pp. 215 - 221 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.04.2019
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Subjects | |
Online Access | Get full text |
ISSN | 1018-3647 2213-686X |
DOI | 10.1016/j.jksus.2017.03.008 |
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Summary: | Modelling leaves accurately is important in the improvement of a virtual plant model. Therefore an accurate illustration of the leaves are important which can be achieve via mathematical models. These models can be used to study biological procedures for instance, a canopy light environment or photosynthesis. In this research we proposed a new surface fitting method called Gaussion radial basis function Clough-Tocher method (RBF-CT) for modelling a leaf surface. The Gaussion RBF-CT method strategy based on joining the Gaussion radial basis function (RBF) and Clough-Tocher (CT) methods. The accuracy of the presented method is validated by applying it to scattered data taken from Franke (1982) as well as to a real scattered data set collected using a laser scanner from an Anthurium leaf (Loch, 2004). Our method is shown to produces a realistic representation of the leaf surface. |
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ISSN: | 1018-3647 2213-686X |
DOI: | 10.1016/j.jksus.2017.03.008 |