import os
import matplotlib.pyplot as plt
from skimage.data import data_dir
from skimage.util import img_as_ubyte
from skimage import io
orig_phantom = img_as_ubyte(io.imread(os.path.join(data_dir, "phantom.png"),
as_grey=True))
fig, ax = plt.subplots()
ax.imshow(orig_phantom, cmap=plt.cm.gray)
from skimage.morphology import erosion, dilation, opening, closing, white_tophat
from skimage.morphology import black_tophat, skeletonize, convex_hull_image
from skimage.morphology import disk
selem = disk(6)
eroded = erosion(orig_phantom, selem)
plot_comparison(orig_phantom, eroded, 'erosion')
def plot_comparison(original, filtered, filter_name):
fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 4), sharex=True,
sharey=True)
ax1.imshow(original, cmap=plt.cm.gray)
ax1.set_title('original')
ax1.axis('off')
ax1.set_adjustable('box-forced')
ax2.imshow(filtered, cmap=plt.cm.gray)
ax2.set_title(filter_name)
ax2.axis('off')
ax2.set_adjustable('box-forced')