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Dragon IFS Fractal

Python, 45 lines
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# Dragon Fractal using IFS method
# FB - 20120106
import random
from PIL import Image
imgx = 512
imgy = 512
image = Image.new("RGB", (imgx, imgy))
maxIt = 100000 # max iterations allowed

n = 6 # coloring level
color = [0] * n
red = []
grn = []
blu = []
for j in range(2):
    red.append(random.randint(0, 255))
    grn.append(random.randint(0, 255))
    blu.append(random.randint(0, 255))

xa = -1.0 / 3
xb = 7.0 / 6
ya = -1.0 / 3
yb = 2.0 / 3

x = 0.0
y = 0.0
for i in range(maxIt):
    k = random.randint(0, 1)
    for m in range(n - 1):
        color[m] = color[m + 1]
    color[n - 1] = k
    if k == 0:
        x0 = (x - y) / 2.0
        y = (x + y) / 2.0
        x = x0
    else:
        x0 = 1.0 - (x + y) / 2.0
        y = (x - y) / 2.0
        x = x0
    kx = int((x - xa) / (xb - xa) * (imgx - 1))
    ky = int((y - ya) / (yb - ya) * (imgy - 1))
    if kx >=0 and kx < imgx and ky >= 0 and ky <= imgy:
        image.putpixel((kx, ky), (red[color[0]], grn[color[0]], blu[color[0]]))

image.save("DragonFractal_IFS.png", "PNG")

2 comments

FB36 (author) 12 years, 3 months ago  # | flag

And this is the C Fractal using IFS method:

# C Fractal using IFS method
# FB - 20120106
import random
from PIL import Image
imgx
= 512
imgy
= 512
image
= Image.new("RGB", (imgx, imgy))
maxIt
= 100000 # max iterations allowed

n
= 6 # coloring level
color
= [0] * n
red
= []
grn
= []
blu
= []
for j in range(2):
    red
.append(random.randint(0, 255))
    grn
.append(random.randint(0, 255))
    blu
.append(random.randint(0, 255))

xa
= -0.5
xb
= 1.5
ya
= -0.25
yb
= 1.0

x
= 0.0
y
= 0.0
for i in range(maxIt):
    k
= random.randint(0, 1)
   
for m in range(n - 1):
        color
[m] = color[m + 1]
    color
[n - 1] = k
   
if k == 0:
        x0
= (x - y) / 2.0
        y
= (x + y) / 2.0
        x
= x0
   
else:
        x0
= (x + y) / 2.0 + 0.5
        y
= (y - x) / 2.0 + 0.5
        x
= x0
    kx
= int((x - xa) / (xb - xa) * (imgx - 1))
    ky
= int((y - ya) / (yb - ya) * (imgy - 1))
   
if kx >=0 and kx < imgx and ky >= 0 and ky <= imgy:
        image
.putpixel((kx, ky), (red[color[0]], grn[color[0]], blu[color[0]]))

image
.save("CFractal_IFS.png", "PNG")
LL Snark 12 years, 3 months ago  # | flag

And The turtle C curve :

from turtle import *
from math import sqrt
sqrt2
=sqrt(2)

def ccurve(l) :
   
if l<1 :
        fd
(l)
       
return
    lt
(45)
    ccurve
(l/sqrt2)
    rt
(90)
    ccurve
(l/sqrt2)
    lt
(45)

speed
(0)
tracer
(50,0)
ccurve
(100)
update
()