trim_small_clusters#

trim_small_clusters function is a filter that removes isolated voxels or clusters of a given size or smaller.

import matplotlib.pyplot as plt

import porespy as ps

ps.visualization.set_mpl_style()

im#

This function works on 2D and 3D images.

im = ps.generators.blobs(shape=[500, 500], blobiness=5, porosity=0.5)

plt.figure(figsize=[6, 6])
plt.imshow(im)
plt.axis(False);

min_size#

The maximum min_size of a cluster to trim is varied trying 10, 100, and 500 voxels.

x1 = ps.filters.trim_small_clusters(im, min_size=10)
x2 = ps.filters.trim_small_clusters(im, min_size=100)
x3 = ps.filters.trim_small_clusters(im, min_size=500)

fig, ax = plt.subplots(1, 3, figsize=[18, 18])
ax[0].imshow(x1)
ax[0].axis(False)
ax[0].set_title('size = 10', fontdict={'fontsize': 18})
ax[1].imshow(x2)
ax[1].axis(False)
ax[1].set_title('size = 100', fontdict={'fontsize': 18})
ax[2].imshow(x3)
ax[2].axis(False)
ax[2].set_title('size = 500', fontdict={'fontsize': 18});