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odebeir
2015-08-29 12:55:24 +02:00
parent c991403c86
commit f8afc07d80
1 changed files with 10 additions and 10 deletions
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doc/examples/plot_entropy2.py
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@@ -12,27 +12,27 @@ import numpy as np
from skimage.filters.rank import entropy
from skimage.morphology import disk
noise_mask = 28*np.ones((128,128),dtype=np.uint8)
noise_mask[32:-32,32:-32] = 30
noise_mask = 28*np.ones((128, 128), dtype=np.uint8)
noise_mask[32:-32, 32:-32] = 30
noise = (noise_mask*np.random.random(noise_mask.shape)-.5*noise_mask).astype(np.uint8)
img = noise + 128
radius = 10
e = entropy(img,disk(radius))
e = entropy(img, disk(radius))
plt.figure(figsize=[15,5])
plt.subplot(1,3,1)
plt.imshow(noise_mask,cmap=plt.cm.gray)
plt.figure(figsize=[15, 5])
plt.subplot(1, 3, 1)
plt.imshow(noise_mask, cmap=plt.cm.gray)
plt.xlabel('noise mask')
plt.colorbar()
plt.subplot(1,3,2)
plt.imshow(img,cmap=plt.cm.gray)
plt.subplot(1, 3, 2)
plt.imshow(img, cmap=plt.cm.gray)
plt.xlabel('noised image')
plt.colorbar()
plt.subplot(1,3,3)
plt.subplot(1, 3, 3)
plt.imshow(e)
plt.xlabel('image local entropy ($r=%d$)'%radius)
plt.xlabel('image local entropy ($r=%d$)' % radius)
plt.colorbar()
plt.show()