mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 02:01:40 +08:00
emmanuelle
55f5103dd8
Modified travis_script.sh to account for the new structure of the gallery Added README.txt files in directories of gallery examples Fixed references to gallery images in user guide pages Fixed broken links
36 lines
887 B
Python
36 lines
887 B
Python
"""
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====================
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Build image pyramids
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====================
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The `pyramid_gaussian` function takes an image and yields successive images
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shrunk by a constant scale factor. Image pyramids are often used, e.g., to
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implement algorithms for denoising, texture discrimination, and scale-
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invariant detection.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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from skimage import data
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from skimage.transform import pyramid_gaussian
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image = data.astronaut()
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rows, cols, dim = image.shape
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pyramid = tuple(pyramid_gaussian(image, downscale=2))
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composite_image = np.zeros((rows, cols + cols / 2, 3), dtype=np.double)
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composite_image[:rows, :cols, :] = pyramid[0]
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i_row = 0
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for p in pyramid[1:]:
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n_rows, n_cols = p.shape[:2]
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composite_image[i_row:i_row + n_rows, cols:cols + n_cols] = p
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i_row += n_rows
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fig, ax = plt.subplots()
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ax.imshow(composite_image)
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plt.show()
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