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odebeir
39 lines
837 B
Python
39 lines
837 B
Python
"""
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=======
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Entropy
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=======
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The following example applies the local entropy measure to a noised image with a variable noise.
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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from skimage.filters.rank import entropy
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from skimage.morphology import disk
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noise_mask = 28*np.ones((128, 128), dtype=np.uint8)
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noise_mask[32:-32, 32:-32] = 30
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noise = (noise_mask*np.random.random(noise_mask.shape)-.5*noise_mask).astype(np.uint8)
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img = noise + 128
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radius = 10
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e = entropy(img, disk(radius))
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plt.figure(figsize=[15, 5])
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plt.subplot(1, 3, 1)
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plt.imshow(noise_mask, cmap=plt.cm.gray)
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plt.xlabel('noise mask')
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plt.colorbar()
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plt.subplot(1, 3, 2)
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plt.imshow(img, cmap=plt.cm.gray)
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plt.xlabel('noised image')
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plt.colorbar()
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plt.subplot(1, 3, 3)
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plt.imshow(e)
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plt.xlabel('image local entropy ($r=%d$)' % radius)
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plt.colorbar()
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plt.show()
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