
Visualization of a two-dimensional tree modeling using fractal based on L-system
Author(s) -
Eka Wahyu Hidayat,
I Ketut Gede Darma Putra,
Ida Ayu Dwi Giriantari,
Made Sudarma
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/550/1/012027
Subject(s) - tree (set theory) , computer science , visualization , grammar , fractal , attribute grammar , construct (python library) , rule based machine translation , theoretical computer science , generator (circuit theory) , regular tree grammar , algorithm , artificial intelligence , mathematics , mildly context sensitive grammar formalism , programming language , generative grammar , emergent grammar , combinatorics , mathematical analysis , linguistics , philosophy , power (physics) , physics , quantum mechanics
The purpose of this paper is to present a visualization of two-dimensional trees using fractals and L-Systems. Grammar in L-System consisting of letters, axioms, and production rules can be used to construct trees in various forms according to the production rules used. With the formation of grammar from the tree pattern in a fractional manner, the grammar can be reused to construct other tree patterns at a higher level. The iterations made on certain production rules visually affect the tree model. Experiments were carried out on the L-System generator to see the results of tree visualization by testing various grammars. Testing was done by trial and error in production rules to get a realistic visualization of a two-dimensional tree model. From the experimental results produced a variety of grammar, where modifications to the production rules produced different tree models. Visually, from the iteration results, the higher the iteration value, the two-dimensional tree was not formed properly. When the iteration value or n > 5 the two-dimensional tree model results from an iteration it lost detail from the branch.