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);

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');

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');

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');

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');
