Labelling connected components of an image

This example shows how to label connected components of a binary image, using the dedicated skimage.measure.label function.

../../../_images/plot_labels_1.png

Python source code: plot_labels.py

from skimage import measure

try:

    from skimage import filters

except ImportError:

    from skimage import filter as filters

import matplotlib.pyplot as plt

import numpy as np



n = 12

l = 256

np.random.seed(1)

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

blobs = im > 0.7 * im.mean()



all_labels = measure.label(blobs)

blobs_labels = measure.label(blobs, background=0)



plt.figure(figsize=(9, 3.5))

plt.subplot(131)

plt.imshow(blobs, cmap='gray')

plt.axis('off')

plt.subplot(132)

plt.imshow(all_labels, cmap='spectral')

plt.axis('off')

plt.subplot(133)

plt.imshow(blobs_labels, cmap='spectral')

plt.axis('off')



plt.tight_layout()

plt.show()

Total running time of the example: 0.31 seconds ( 0 minutes 0.31 seconds)