Synthetic data

The example generates and displays simple synthetic data.

../../../_images/plot_synthetic_data_1.png

Python ソースコード: plot_synthetic_data.py

import numpy as np

from scipy import ndimage

import matplotlib.pyplot as plt



np.random.seed(1)

n = 10

l = 256

im = np.zeros((l, l))

points = l*np.random.random((2, n**2))

im[(points[0]).astype(np.int), (points[1]).astype(np.int)] = 1

im = ndimage.gaussian_filter(im, sigma=l/(4.*n))



mask = im > im.mean()



label_im, nb_labels = ndimage.label(mask)



plt.figure(figsize=(9,3))



plt.subplot(131)

plt.imshow(im)

plt.axis('off')

plt.subplot(132)

plt.imshow(mask, cmap=plt.cm.gray)

plt.axis('off')

plt.subplot(133)

plt.imshow(label_im, cmap=plt.cm.spectral)

plt.axis('off')



plt.subplots_adjust(wspace=0.02, hspace=0.02, top=1, bottom=0, left=0, right=1)

plt.show()

Total running time of the example: 0.15 seconds ( 0 minutes 0.15 seconds)