Abstract
Leaf is the important part of a tree. This paper mainly studied its categories, shapes and mass, then established four mathematic models to describe and analyze them. Firstly, this paper analyzed the reasons why leaf shapes are different by the theory of mechanics. The mechanics model explained the structure and forming principles of a leaf. Secondly, in order to classify the leaves accurately, this paper selected digital image processing and built two classified criterion: ratio of leaf area to its perimeter and ratio of maximal length to maximal width. After edge extraction and Fourier fitting. Thirdly, this paper utilized the connection between illumination intensity and leaf area to explain how the distribution of leaves and branches affect leaf area. According to the stem height at each branch tip, this paper got the relation between the branches, then established a model of leaf area to proof that the leaf shape has a relation with the tree profile and the branches structure. Finally, this paper set up leaf mass model to compute the total leaf mass, based on the leaf area index. It was calculated by choosing digital image processing technique. Using the leaves mass, this paper analyzed the relevancy of the mass and the size characteristics of the tree.
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Niklas, K.J.: A mechanical perspective on foliage leaf form and function (1998)
Chen, S.Y.Y., Lestrel, P.E., Kerr, W.J.S., McColl, J.H.: Describing shape changes in the human mandible using Elliptic Fourier functions. Eur.J. Orthod. 22, 205–216 (2000)
Daliri, M.R., Torre, V.: Robust symbolic representation for shape recognition and retrieval. Pattern Recognition 41(5), 1782–1798 (2008)
Zheng, X.: Leaf Vein Extraction Based on Gray-scale Morphology (2010)
Royer, D.L., Meyerson, L.A., Robertson, K.M., et al.: Phenotypic plasticity of leaf shape along a temperature gradient in Acer rubrum. PLoS One 4(10), e7653 (2009)
Sarkar, D., Srimany, A., Pradeep, T.: Rapid identification of molecular changes in tulsi (Ocimum sanctum Linn) upon ageing using leaf spray ionization mass spectrometry. Analyst 137(19), 4559–4563 (2012)
Franz, E., Gebhardt, M.R., Unklesbay, K.B.: Shape description of completely visible and partially occluded leaves for identifying plants in digital images. Trans. ASAE 34(2), 1991 (1991a)
Sato, Y., Kumagai, T., Kume, A., et al.: Experimental analysis of moisture dynamics of litter layers—the effects of rainfall conditions and leaf shapes. Hydrological Processes 18(16), 3007–3018 (2004)
Li, Y.F., Zhu, Q.S., Cao, Y.K., Wang, C.L.: A Leaf Vein Extraction Method Based On Snakes Technique. In: International Conference on Neural Networks and Brain 2005, October 13-15, vol. 2, pp. 885–888 (2005)
Gunawardena, A.H., Greenwood, J.S., Dengler, N.G.: Programmed cell death remodels lace plant leaf shape during development. The Plant Cell Online 16(1), 60–73 (2004)
Mori, S., Hagihara, A.: Crown profile of foliage area characterized with the Weibull distribution in a hinoki (Chamaecyparis obtusa) stand. Trees 5, 149–152 (1991)
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© 2015 IFIP International Federation for Information Processing
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Li, J., Li, H., Fu, Q. (2015). Computer Computing and Simulation—In View of the Leaves’ Categories, Shapes and Mass. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VIII. CCTA 2014. IFIP Advances in Information and Communication Technology, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-319-19620-6_33
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DOI: https://doi.org/10.1007/978-3-319-19620-6_33
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