local_thickness_dt#
Computes local thickness by repeatedly thresholding a distance transform and redilating the result with a second distance transform. This is the default implementation used by local_thickness.
See the local_thickness notebook for a detailed walk-through of the shared concepts; this page focuses on the variant-specific arguments. The wrapper ps.filters.local_thickness dispatches to this function when its method argument selects this variant.
import matplotlib.pyplot as plt
import porespy as ps
ps.visualization.set_mpl_style()
The arguments and their defaults are:
import inspect
inspect.signature(ps.filters.local_thickness_dt)
<Signature (im: numpy.ndarray[tuple[typing.Any, ...], numpy.dtype[~_ScalarT]], dt: numpy.ndarray[tuple[typing.Any, ...], numpy.dtype[~_ScalarT]] = None, sizes: int = 25, smooth: bool = True)>
im and sizes#
im is the boolean void mask. sizes is the number of erosion-dilation steps (int, the default 25 means logarithmically spaced bins between the maximum of the distance transform and 1) or an explicit array of radii to use.
im = ps.generators.blobs(shape=[200, 200], porosity=0.6, seed=0)
lt = ps.filters.local_thickness_dt(im=im)
fig, ax = plt.subplots(figsize=[5, 5])
ax.imshow(lt / im, origin='lower', interpolation='none')
ax.axis(False);
dt#
If a distance transform is already available it can be passed in to skip recomputation.
from porespy.tools import get_edt
dt = get_edt()(im)
lt = ps.filters.local_thickness_dt(im=im, dt=dt, sizes=15)
smooth#
Same meaning as in dilate and erode: when True (default) protrusions are trimmed from the spheres used during the dilation step.
lt_smooth = ps.filters.local_thickness_dt(im=im, smooth=True)
lt_rough = ps.filters.local_thickness_dt(im=im, smooth=False)
fig, ax = plt.subplots(1, 2, figsize=[10, 5])
ax[0].imshow(lt_smooth / im, origin='lower', interpolation='none')
ax[0].set_title('smooth = True')
ax[0].axis(False)
ax[1].imshow(lt_rough / im, origin='lower', interpolation='none')
ax[1].set_title('smooth = False')
ax[1].axis(False);