mirror of
https://github.com/wassname/scikit-image.git
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Johannes Schönberger
35 lines
877 B
Python
35 lines
877 B
Python
"""
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====================
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Build image pyramids
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====================
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The `build_gauassian_pyramid` function takes an image and yields successive
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images shrunk by a constant scale factor. Image pyramids are often used, e.g.,
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to 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 build_gaussian_pyramid
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image = data.lena()
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rows, cols, dim = image.shape
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pyramid = tuple(build_gaussian_pyramid(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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plt.imshow(composite_image)
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plt.show()
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