mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 23:42:02 +08:00
François Boulogne
32 lines
708 B
Python
32 lines
708 B
Python
import numpy as np
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import matplotlib.pyplot as plt
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from skimage.transform import hough_line
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from skimage.draw import line
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img = np.zeros((100, 150), dtype=bool)
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img[30, :] = 1
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img[:, 65] = 1
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img[35:45, 35:50] = 1
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rr, cc = line(60, 130, 80, 10)
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img[rr, cc] = 1
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img += np.random.random(img.shape) > 0.95
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out, angles, d = hough_line(img)
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plt.subplot(1, 2, 1)
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plt.imshow(img, cmap=plt.cm.gray)
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plt.title('Input image')
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plt.subplot(1, 2, 2)
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plt.imshow(out, cmap=plt.cm.bone,
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extent=(np.rad2deg(angles[-1]), np.rad2deg(angles[0]),
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d[-1], d[0]))
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plt.title('Hough transform')
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plt.xlabel('Angle (degree)')
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plt.ylabel('Distance (pixel)')
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plt.subplots_adjust(wspace=0.4)
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plt.show()
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