Article Outline
Example Python program luminance (1).py
Modules
- import numpy as N
- import matplotlib.colors
- from matplotlib import pyplot as P
- from matplotlib import cbook
Methods
- def rotate(x, y, angle):
- def luminance_colormap(num_cycles=2, num_colors=256, reverse=False):
Code
Python example
import numpy as N
import matplotlib.colors
def rotate(x, y, angle):
r, theta = N.sqrt(x ** 2 + y ** 2), N.arctan2(y, x)
theta += angle
return r * (N.cos(theta), N.sin(theta))
def luminance_colormap(num_cycles=2, num_colors=256, reverse=False):
'''Returns a Matplotlib color scale that cycles through the hues @num_cycles
times, while maintaining monotonic luminance (i.e., if it is printed in
black and white, then it will be perceptually equal to a linear grayscale.
Ported from the Matlab(R) code from: McNames, J. (2006). An effective color
scale for simultaneous color and gray-scale publications. IEEE Signal
Processing Magazine 23(1), 82--87.'''
# Triangular window function
window = N.sqrt(3.0 / 8.0) * N.bartlett(num_colors)
# Independent variable
t = N.linspace(N.sqrt(3.0), 0.0, num_colors)
# Initial values
operand = (t - N.sqrt(3.0) / 2.0) * num_cycles * 2.0 * N.pi / N.sqrt(3.0)
r0 = t
g0 = window * N.cos(operand)
b0 = window * N.sin(operand)
# Convert RG to polar, rotate, and convert back
r1, g1 = rotate(r0, g0, N.arcsin(1.0 / N.sqrt(3.0)))
b1 = b0
# Convert RB to polar, rotate, and convert back
r2, b2 = rotate(r1, b1, N.pi / 4.0)
g2 = g1
# Ensure finite precision effects don't exceed unit cube boundaries
r = r2.clip(0.0, 1.0)
g = g2.clip(0.0, 1.0)
b = b2.clip(0.0, 1.0)
the_map = N.vstack((r, g, b)).T
return matplotlib.colors.ListedColormap(the_map[::-1 if reverse else 1])
if __name__ == '__main__':
from matplotlib import pyplot as P
from matplotlib import cbook
w, h = 512, 512
datafile = cbook.get_sample_data('ct.raw', asfileobj=False)
s = file(datafile, 'rb').read()
A = N.fromstring(s, N.uint16).astype(float)
A /= max(A)
A.shape = w, h
extent = (0, 25, 0, 25)
fig = P.figure()
ax = fig.add_subplot(1, 1, 1)
im = ax.imshow(A, cmap=luminance_colormap(), origin='upper', extent=extent)
fig.colorbar(im)
P.show()
Useful Links
- Articles: https://python-commandments.org/
- Python shell: https://bsdnerds.org/learn-python/
- Tutorial: https://pythonprogramminglanguage.com/