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scikit-image/doc/examples/numpy_operations/plot_camera_numpy.py
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emmanuelle 55f5103dd8 Added sections to gallery of examples
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
2015-12-19 15:28:15 +01:00

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Python

"""
Using simple NumPy operations for manipulating images
=====================================================
This script illustrates how to use basic NumPy operations, such as slicing,
masking and fancy indexing, in order to modify the pixel values of an image.
"""
import numpy as np
from skimage import data
import matplotlib.pyplot as plt
camera = data.camera()
camera[:10] = 0
mask = camera < 87
camera[mask] = 255
inds_x = np.arange(len(camera))
inds_y = (4 * inds_x) % len(camera)
camera[inds_x, inds_y] = 0
l_x, l_y = camera.shape[0], camera.shape[1]
X, Y = np.ogrid[:l_x, :l_y]
outer_disk_mask = (X - l_x / 2)**2 + (Y - l_y / 2)**2 > (l_x / 2)**2
camera[outer_disk_mask] = 0
plt.figure(figsize=(4, 4))
plt.imshow(camera, cmap='gray', interpolation='nearest')
plt.axis('off')
plt.show()