mirror of
https://github.com/wassname/scikit-image.git
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martin
9fa9c0387c
for better interaction sharing achieved by setting sharex and sharey, and setting the axes 'adjustable' parameter to 'box-forced'
33 lines
719 B
Python
33 lines
719 B
Python
"""
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=======
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Entropy
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=======
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Image entropy is a quantity which is used to describe the amount of information
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coded in an image.
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"""
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import matplotlib.pyplot as plt
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from skimage import data
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from skimage.filters.rank import entropy
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from skimage.morphology import disk
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from skimage.util import img_as_ubyte
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image = img_as_ubyte(data.camera())
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fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 4), sharex=True, sharey=True, subplot_kw={'adjustable':'box-forced'})
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img0 = ax0.imshow(image, cmap=plt.cm.gray)
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ax0.set_title('Image')
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ax0.axis('off')
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fig.colorbar(img0, ax=ax0)
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img1 = ax1.imshow(entropy(image, disk(5)), cmap=plt.cm.jet)
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ax1.set_title('Entropy')
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ax1.axis('off')
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fig.colorbar(img1, ax=ax1)
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plt.show()
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