DocumentCode
2855306
Title
Tree Growth Simulation Method Based on Improved IFS Algorithm
Author
Zhang Huaiqing ; Liu Min
Author_Institution
Res. Inst. of Resource Inf. Tech., Chinese Acad. of Forestry (CAF), Beijing, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
5
Abstract
With poplar as the research object, tree simulation algorithm and simulation method combined with tree growth were investigated. With iteration function system (IFS) algorithm to perform single-plant simulation, a modified IFS iterative algorithm was proposed. The new method overcomes the drawback in original IFS iteration algorithm, i.e., too much self-similarity, and makes grown trees more authentic. In the mean time, the IFS fractal simplification algorithm was proposed, with which the program running efficiency can be improved provided that tree conformation is not affected. This paper presents a fractal growth method with a growth model to control IFS, which combines the improved algorithm and the growth model. Combination of the conformation model and the growth model makes simulation of natural tree growth more vividly.
Keywords
fractals; iterative methods; IFS algorithm; IFS fractal simplification algorithm; IFS iterative algorithm; fractal growth method; iteration function system algorithm; natural tree growth; single-plant simulation; tree conformation; tree growth simulation method; tree simulation algorithm; Forestry; Fractals; Iterative algorithms; Random variables; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5365658
Filename
5365658
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