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/04a093f0024f83bdd9f191d4455e7580c9736401264a3586f014e58e211cc14b.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/11ef21e95301356e34229a2645a65c42fc1be9168a106dd0795fdc128444a01c.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/6b7a2f7b94fc0ce332bc521d47b52d836a2120c9cd1a5f59dfeab22cc5135118.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/719369d270e841d1e90180a93197750cc618efd6dfb4995e0a815c197dd887ef.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/d4191bf322c84e3176fa96fca1d24a5a73b8a940d273985ab976d3d5d289394a.png