mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 01:46:21 +08:00
Emmanuelle Gouillart
30 lines
802 B
Python
30 lines
802 B
Python
"""
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Using simple NumPy operations for manipulating images
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=====================================================
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This script illustrates how to use basic NumPy operations, such as slicing,
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masking and fancy indexing, in order to modify the pixel values of an image.
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"""
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import numpy as np
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from skimage import data
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import matplotlib.pyplot as plt
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camera = data.camera()
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camera[:10] = 0
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mask = camera < 87
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camera[mask] = 255
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inds_x = np.arange(len(camera))
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inds_y = (4 * inds_x) % len(camera)
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camera[inds_x, inds_y] = 0
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l_x, l_y = camera.shape[0], camera.shape[1]
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X, Y = np.ogrid[:l_x, :l_y]
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outer_disk_mask = (X - l_x / 2)**2 + (Y - l_y / 2)**2 > (l_x / 2)**2
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camera[outer_disk_mask] = 0
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plt.figure(figsize=(4, 4))
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plt.imshow(camera, cmap='gray', interpolation='nearest')
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plt.axis('off')
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plt.show()
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