See also
Version by Jay Link
designed for SVGALIB
and Object pascal version by Omar Awile.
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One of the very common and attractive forms generated by Iterated Function Systems (IFS) is the fern leaf shown on the right. The following will describe how to generate this form and allow the reader to experiment with other IFS generators. Iterated function systems are described by repeatedly computing terms in two series, one series describes the x coordinate and the other series the y coordinate. The equations describe translation, scaling, rotation, and shearing of points in a plane with the restriction that the transformations are "affine". The general form of the series are as follows
yn+1 = c xn + d yn + f
A point is drawn at each pair (xi,yi) for i greater than some number, typically 10 to 100. The magic is in finding the values of (a,b,c,d,e,f) that give the desired form. In many application it is necessary to have a number of sets of (a,b,c,d,e,f). As the series is being generated a particular set is chosen at random for each term. Such IFS systems are often known as Random Iterated Function Systems. |
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The fern can be constructed using the table of value on the right.
The fern above resulted from 100 thousand (105) iterations, that is, 100 thousand points are drawn (of course when drawn on the bitmap many will overlap) |
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The image is self similar at all scales, one can zoom in as far as one wishes and the fronds will continue to resolve themselves. For example, the following image is a zoom in by 50. Note however that it takes an ever increasing number of iterations to resolve the image as the zoom factor increases, this image took 100 million (108) iterations.
Some straightforward C source is given here (source.c) which generates the figure shown above. Note, you will have to supply your own image drawing tools.
A slightly different set of codes gives the result on the right.
set 1 set 2 set 3 set 4
a 0.0 0.2 -0.15 0.85
b 0.0 -0.26 0.28 0.04
c 0.0 0.23 0.26 -0.04
d 0.16 0.22 0.24 0.85
e 0.0 0.0 0.0 0.0
f 0.0 1.6 0.44 1.6
probability 0.01 0.07 0.07 0.85
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Basic source code -- C source code

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