Cloud Theory and Fractal Application in Virtual Plants

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Zhaohong Wang 1,*

1. College of Computer and communication engineering, Weifang University, Weifang, China

* Corresponding author.


Received: 26 Jul. 2010 / Revised: 2 Oct. 2010 / Accepted: 11 Dec. 2010 / Published: 8 Mar. 2011

Index Terms

Virtual Plants, Cloud theory, Fractal, Expectations Function, Normal Distribution, Realism, IFS


Plants is an important component of natural scene. Unfortunately, due to high level complexity of the structure of plant, simulating plant becomes extremely a difficult task. When the fractal theory is imported, it provides a broader development space for the plant modeling. With the development of the fractal research, virtual plant has become a hot and interesting research topic in computer graphics area. The virtual plants technology is very important in guiding the crop production, implementing the agriculture informationization and constructing the virtual environment. At present a single virtual plant modeling technology is quite mature, the method to generate a body of plants often uses the even algorithm or the normal algorithm, but a body of plants in the real world is not even, and is not normal also, the cloud model relaxes the precise determination membership function to expectation function with normal distributed membership degree, combines ambiguity and randomness organically to fit the real world objectively. So it has general applicability, producing a body of plants based on the cloud model can simulate plant's condition and the distribution well.

Cite This Paper

Zhaohong Wang,"Cloud Theory and Fractal Application in Virtual Plants", International Journal of Intelligent Systems and Applications(IJISA), vol.3, no.2, pp.17-23, 2011. DOI: 10.5815/ijisa.2011.02.03


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