Orbit of an Image Under Iterated System II

Author(s):  
S. L. Singh ◽  
S. N. Mishra ◽  
Sarika Jain

An orbital picture is a mathematical structure depicting the path of an object under Iterated Function System. Orbital and V-variable orbital pictures initially developed by Barnsley (2006) have utmost importance in computer graphics, image compression, biological modeling and other areas of fractal geometry. These pictures have been generated for linear and contractive transformations using function and superior iterative procedures. In this paper, the authors introduce the role of superior iterative procedure to find the orbital picture under an IFS consisting of non-contractive or non-expansive transformations. A mild comparison of the computed figures indicates the usefulness of study in computational mathematics and fractal image processing. A modified algorithm along with program code is given to compute a 2-variable superior orbital picture.

2011 ◽  
Vol 2 (4) ◽  
pp. 57-74
Author(s):  
S. L. Singh ◽  
S. N. Mishra ◽  
Sarika Jain

An orbital picture is a mathematical structure depicting the path of an object under Iterated Function System. Orbital and V-variable orbital pictures initially developed by Barnsley (2006) have utmost importance in computer graphics, image compression, biological modeling and other areas of fractal geometry. These pictures have been generated for linear and contractive transformations using function and superior iterative procedures. In this paper, the authors introduce the role of superior iterative procedure to find the orbital picture under an IFS consisting of non-contractive or non-expansive transformations. A mild comparison of the computed figures indicates the usefulness of study in computational mathematics and fractal image processing. A modified algorithm along with program code is given to compute a 2-variable superior orbital picture.


2002 ◽  
Vol 02 (02) ◽  
pp. 161-173
Author(s):  
V. DRAKOPOULOS ◽  
A. KAKOS ◽  
N. NIKOLAOU

A new algorithm, called herein the random power domain algorithm, is discussed; it generates the image corresponding to an iterated function system with probabilities, a technique used in fractal image decoding. A simple complexity analysis for the algorithm is also derived.


2008 ◽  
Vol 51 (4) ◽  
pp. 545-560 ◽  
Author(s):  
Marius Ionescu ◽  
Yasuo Watatani

AbstractA Mauldin–Williams graph is a generalization of an iterated function system by a directed graph. Its invariant set K plays the role of the self-similar set. We associate a C*-algebra (K) with a Mauldin–Williams graph and the invariant set K, laying emphasis on the singular points. We assume that the underlying graph G has no sinks and no sources. If satisfies the open set condition in K, and G is irreducible and is not a cyclic permutation, then the associated C*-algebra (K) is simple and purely infinite. We calculate the K-groups for some examples including the inflation rule of the Penrose tilings.


2007 ◽  
Vol 1 (2) ◽  
pp. 140
Author(s):  
Tri Djoko Wahjono ◽  
Syaeful Karim ◽  
Bayu Riyadi

Article presents analysis and analyze a software that utilize Geometry Fractal, especially Iterated FunctionSystem Fractal, as art. Research method that has been used in this research is by library study and by laboratoriumstudy to test the performance of the software. Result of the research has shown that converted music by GeometryFractal has various results, which depend on the parameters used in it and type of Geometry Fractal image produced.It can be said that usage of fractal in high iteration can produce clear image fractal and complicated music fractal.


2014 ◽  
Vol 24 (11) ◽  
pp. 1450139 ◽  
Author(s):  
Michael F. Barnsley ◽  
Krzysztof Leśniak

We investigate combinatorial issues relating to the use of random orbit approximations to the attractor of an iterated function system with the aim of clarifying the role of the stochastic process during the generation of the orbit. A Baire category counterpart of almost sure convergence is presented.


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