mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-08 10:54:22 +08:00
Jostein Bø Fløystad
e780bd7a5a
Update imports to skimage Use simple test functions, do not wrap in a class Whitespace fixes
122 lines
3.6 KiB
Python
122 lines
3.6 KiB
Python
import numpy as np
|
|
from numpy.testing import run_module_suite, TestCase, assert_array_almost_equal
|
|
|
|
from skimage.exposure import unwrap
|
|
|
|
def test_unwrap2D():
|
|
x, y = np.ogrid[:8, :16]
|
|
phi = 2*np.pi*(x*0.2 + y*0.1)
|
|
phi_wrapped = np.angle(np.exp(1j*phi))
|
|
phi_unwrapped = unwrap(phi_wrapped)
|
|
|
|
s = np.round(phi_unwrapped[0,0]/(2*np.pi))
|
|
assert_array_almost_equal(phi, phi_unwrapped - s*2*np.pi)
|
|
|
|
def test_unwrap2D_masked():
|
|
x, y = np.ogrid[:8, :16]
|
|
phi = 2*np.pi*(x*0.2 + y*0.1)
|
|
|
|
mask = np.zeros_like(phi, dtype = np.uint8)
|
|
mask[4:6, 4:8] = 1
|
|
|
|
phi_wrapped = np.angle(np.exp(1j*phi))
|
|
phi_wrapped_masked = np.ma.array(phi_wrapped, dtype = np.float32, mask = mask)
|
|
phi_unwrapped_masked = unwrap(phi_wrapped_masked)
|
|
|
|
s = np.round(phi_unwrapped_masked[0,0]/(2*np.pi))
|
|
assert_array_almost_equal(phi + 2*np.pi*s, phi_unwrapped_masked)
|
|
|
|
def test_unwrap3D():
|
|
x, y, z = np.ogrid[:8, :12, :4]
|
|
phi = 2*np.pi*(x*0.2 + y*0.1 + z*0.05)
|
|
phi_wrapped = np.angle(np.exp(1j*phi))
|
|
phi_unwrapped = unwrap(phi_wrapped)
|
|
|
|
s = np.round(phi_unwrapped[0,0]/(2*np.pi))
|
|
assert_array_almost_equal(phi, phi_unwrapped - s*2*np.pi)
|
|
|
|
def test_unwrap3D_masked():
|
|
x, y, z = np.ogrid[:8, :12, :4]
|
|
phi = 2*np.pi*(x*0.2 + y*0.1 + z*0.05)
|
|
phi_wrapped = np.angle(np.exp(1j*phi))
|
|
mask = np.zeros_like(phi, dtype = np.uint8)
|
|
mask[4:6, 4:6, 1:3] = 1
|
|
phi_wrapped_masked = np.ma.array(phi_wrapped, dtype = np.float32, mask = mask)
|
|
phi_unwrapped_masked = unwrap(phi_wrapped_masked)
|
|
|
|
s = np.round(phi_unwrapped_masked[0,0,0]/(2*np.pi))
|
|
assert_array_almost_equal(phi + 2*np.pi*s, phi_unwrapped_masked)
|
|
|
|
def unwrap_plots():
|
|
|
|
x, y = np.ogrid[:32, :32]
|
|
phi = 2*np.pi*(x*0.2 + y*0.1)
|
|
|
|
#phi = 1*np.arctan2(x-14.3, y-6.3) - 2*np.arctan2(x-18.3, y-22.1)
|
|
|
|
phi[8,8] = np.NaN
|
|
|
|
phi_wrapped = np.angle(np.exp(1j*phi))
|
|
phi_unwrapped = unwrap(phi_wrapped,
|
|
#wrap_around_axis_0 = True,
|
|
#wrap_around_axis_1 = True,
|
|
)
|
|
|
|
mask = np.zeros_like(phi, dtype = np.uint8)
|
|
#mask[10:22, 4:10] = 1
|
|
phi_wrapped_masked = np.ma.array(phi_wrapped, dtype = np.float32, mask = mask)
|
|
phi_unwrapped_masked = unwrap(phi_wrapped_masked)
|
|
|
|
import matplotlib.pyplot as plt
|
|
plt.figure(1)
|
|
plt.clf()
|
|
plt.gray()
|
|
plt.subplot(221)
|
|
plt.imshow(phi, interpolation = 'nearest')
|
|
plt.subplot(222)
|
|
plt.imshow(phi_wrapped, interpolation = 'nearest')
|
|
plt.subplot(223)
|
|
plt.imshow(phi_unwrapped, interpolation = 'nearest')
|
|
plt.subplot(224)
|
|
plt.imshow(phi_unwrapped_masked, interpolation = 'nearest')
|
|
|
|
plt.draw()
|
|
plt.show()
|
|
|
|
if __name__=="__main__":
|
|
run_module_suite()
|
|
|
|
unwrap_plots()
|
|
|
|
# p0,p1,p2,p3,p4 = test_unwrap2D()
|
|
# plt.figure(1)
|
|
# plt.clf()
|
|
# plt.subplot(322)
|
|
# plt.imshow(p0,interpolation = 'nearest')
|
|
# plt.subplot(323)
|
|
# plt.imshow(p1,interpolation = 'nearest')
|
|
# plt.subplot(324)
|
|
# plt.imshow(p2, interpolation = 'nearest')
|
|
# plt.subplot(325)
|
|
# plt.imshow(p3, interpolation = 'nearest')
|
|
# plt.subplot(326)
|
|
# plt.imshow(p4, interpolation = 'nearest')
|
|
# plt.draw()
|
|
|
|
|
|
# p0,p1,p2,p3,p4 = test_unwrap3D()
|
|
# plt.figure(2)
|
|
# plt.clf()
|
|
# plt.subplot(322)
|
|
# plt.imshow(p0[:,:,0],interpolation = 'nearest')
|
|
# plt.subplot(323)
|
|
# plt.imshow(p1[:,:,0],interpolation = 'nearest')
|
|
# plt.subplot(324)
|
|
# plt.imshow(p2[:,:,0], interpolation = 'nearest')
|
|
# plt.subplot(325)
|
|
# plt.imshow(p3[:,:,0], interpolation = 'nearest')
|
|
# plt.subplot(326)
|
|
# plt.imshow(p4[:,:,0], interpolation = 'nearest')
|
|
# plt.draw()
|
|
# plt.show()
|