apply_chords#

Adds chords to the void space in the specified direction

import matplotlib.pyplot as plt
import numpy as np
import porespy as ps
import scipy.ndimage as spim
import skimage
ps.visualization.set_mpl_style()

shape#

shape = [200, 200]
im = ps.generators.blobs(shape=shape, porosity=0.4)
fig, ax = plt.subplots(1, 1, figsize=[4, 4])
ax.imshow(im, origin='lower', interpolation='none')
ax.axis(False);
../../../_images/4da602b7d74b83686ca3fbd0947db04e170faf1282523a3cf3c26a929e335ddd.png

spacing#

Separation between chords. The default is 1 voxel. This can be decreased to 0, meaning that the chords all touch each other, which automatically sets to the label argument to True

x = ps.filters.apply_chords(im=im, spacing=1)
xx = ps.filters.apply_chords(im=im, spacing=3)


fig, ax = plt.subplots(1, 2, figsize=[8, 4])
ax[0].imshow(x)
ax[1].imshow(xx)
ax[0].axis(False)
ax[1].axis(False)
ax[0].set_title('spacing = 1')
ax[1].set_title('spacing = 3');
../../../_images/5c1072134f1ba13e065837feae8c1cd91d5d2ca1633bd49f58a1867a420b8d0f.png

axis#

The axis along which the chords are drawn.

xx = ps.filters.apply_chords(im=im, axis=1)

fig, ax = plt.subplots(1, 2, figsize=[8, 4])
ax[0].imshow(x)
ax[1].imshow(xx)
ax[0].axis(False)
ax[1].axis(False)
ax[0].set_title('axis = 0')
ax[1].set_title('axis = 1');
../../../_images/218ffd9b93f4541638d07ef6f6e3a2e754e74badfb439b27f48413ccd5a88c26.png

trim_edges#

Whether or not to remove chords that touch the edges of the image. The default is True.

xx = ps.filters.apply_chords(im=im, trim_edges=False)

fig, ax = plt.subplots(1, 2, figsize=[8, 4])
ax[0].imshow(x)
ax[1].imshow(xx)
ax[0].axis(False)
ax[1].axis(False)
ax[0].set_title('trim_edges = True')
ax[1].set_title('trim_edges = False');
../../../_images/c9602605fc303b15eda70eed3850d3af5928659870db4c5fd43e8c1497cb0b4e.png

label#

If True the chords in the returned image are each given a unique label, such that all voxels lying on the same chord have the same value. This is automatically set to True if spacing is 0, but is False otherwise.

xx = ps.filters.apply_chords(im=im, label=True)

fig, ax = plt.subplots(1, 2, figsize=[8, 4])
ax[0].imshow(x)
ax[1].imshow(xx)
ax[0].axis(False)
ax[1].axis(False)
ax[0].set_title('label = False')
ax[1].set_title('label = True');
../../../_images/2c23e93d3b1d7a6b393fa007120a72d8081e459c2373b09042e7d074e6df2569.png