mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 13:37:50 +08:00
Gregory R. Lee
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""
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=========================
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Interpolation: Edge Modes
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=========================
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This example illustrates the different edge modes available during
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interpolation in routines such as ``skimage.transform.rescale`` and
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``skimage.transform.resize``.
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"""
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from skimage._shared._interpolation_test import extend_image
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import skimage.data
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import matplotlib.pyplot as plt
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import numpy as np
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img = np.zeros((16, 16))
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img[:8, :8] += 1
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img[:4, :4] += 1
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img[:2, :2] += 1
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img[:1, :1] += 2
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modes = ['constant', 'nearest', 'wrap', 'reflect']
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fig, axes = plt.subplots(1, 4, figsize=(12, 3))
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for n, mode in enumerate(modes):
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img_extended = extend_image(img, pad=img.shape[0], mode=mode)
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axes[n].imshow(img_extended, cmap=plt.cm.gray, interpolation='nearest')
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axes[n].plot([15.5, 15.5], [15.5, 31.5], 'y--', linewidth=0.5)
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axes[n].plot([31.5, 31.5], [15.5, 31.5], 'y--', linewidth=0.5)
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axes[n].plot([15.5, 31.5], [15.5, 15.5], 'y--', linewidth=0.5)
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axes[n].plot([15.5, 31.5], [31.5, 31.5], 'y--', linewidth=0.5)
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axes[n].set_axis_off()
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axes[n].set_aspect('equal')
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axes[n].set_title(mode)
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plt.tight_layout()
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plt.show() |