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add comment to bilateral denoising example

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Olivier Debeir
2012-10-10 11:29:28 +02:00
parent a7ff15188f
commit d13517035f
3 changed files with 17 additions and 18 deletions
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doc/examples/plot_local_threshold.py
+7 -3
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@@ -24,7 +24,7 @@ import matplotlib.pyplot as plt
from skimage import data
from skimage.filter import threshold_otsu, threshold_adaptive
from skimage.rank import threshold
from skimage.rank import threshold,morph_contr_enh
from skimage.morphology import disk
@@ -38,9 +38,10 @@ binary_adaptive = threshold_adaptive(image, block_size, offset=10)
selem = disk(10)
loc_thresh = threshold(image,selem=selem)
loc_morph_contr_enh = morph_contr_enh(image,selem=selem)
fig, axes = plt.subplots(nrows=4, figsize=(7, 8))
ax0, ax1, ax2, ax3 = axes
fig, axes = plt.subplots(nrows=5, figsize=(7, 8))
ax0, ax1, ax2, ax3, ax4 = axes
plt.gray()
ax0.imshow(image)
@@ -55,6 +56,9 @@ ax2.set_title('Adaptive thresholding')
ax3.imshow(loc_thresh)
ax3.set_title('Local thresholding')
ax4.imshow(loc_morph_contr_enh)
ax4.set_title('Local morphological contrast enhancement')
for ax in axes:
ax.axis('off')