Menu

[r5913]: / trunk / users_guide / code / image_demo.py  Maximize  Restore  History

Download this file

18 lines (14 with data), 456 Bytes

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
from pylab import *
delta = 0.025
# generate a mesh of x and y vectors
x = y = arange(-3.0, 3.0, delta)
X, Y = meshgrid(x, y)
# create 2D gaussian distributions
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# plot the difference of Gaussians with blinear interpolation
im = imshow(Z2-Z1, interpolation='bilinear')
axis('off')
savefig('../figures/image_demo.eps')
savefig('../figures/image_demo.png')
show()
Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.