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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 619385, 8 pages
Research Article

Computational Approach to Seasonal Changes of Living Leaves

Ying Tang,1,2 Dong-Yan Wu,1,2 and Jing Fan1,2

1School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China
2Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou 310023, China

Received 10 December 2012; Accepted 17 January 2013

Academic Editor: Carlo Cattani

Copyright © 2013 Ying Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposes a computational approach to seasonal changes of living leaves by combining the geometric deformations and textural color changes. The geometric model of a leaf is generated by triangulating the scanned image of a leaf using an optimized mesh. The triangular mesh of the leaf is deformed by the improved mass-spring model, while the deformation is controlled by setting different mass values for the vertices on the leaf model. In order to adaptively control the deformation of different regions in the leaf, the mass values of vertices are set to be in proportion to the pixels' intensities of the corresponding user-specified grayscale mask map. The geometric deformations as well as the textural color changes of a leaf are used to simulate the seasonal changing process of leaves based on Markov chain model with different environmental parameters including temperature, humidness, and time. Experimental results show that the method successfully simulates the seasonal changes of leaves.