trim_saddle_points
¶
trim_saddle_points
function is a filter which removes peaks that were mistakenly identified because they lie on a saddle or a ridge in the distance transform.
import numpy as np
import porespy as ps
import scipy.ndimage as spim
import matplotlib.pyplot as plt
import skimage
from edt import edt
ps.visualization.set_mpl_style()
[01:01:07] ERROR PARDISO solver not installed, run `pip install pypardiso`. Otherwise, _workspace.py:56 simulations will be slow. Apple M chips not supported.
dt
¶
The distance transform of a test image is detetmined using the edt
method.
peaks
¶
peaks
is found using the find_peaks
filter on the distance transform. Peaks that lie on a saddle or a ridge are removed.
peaks = ps.filters.find_peaks(dt, r_max=4)
x = ps.filters.trim_saddle_points(peaks=peaks, dt=dt)
fix, ax = plt.subplots(1, 2, figsize=[12, 12])
ax[0].axis(False)
ax[0].imshow(peaks/im)
ax[0].set_title('Before', fontdict={'fontsize': 18});
ax[1].axis(False)
ax[1].imshow(x/im);
ax[1].set_title('After', fontdict={'fontsize': 18});