.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_packages_scikit-image_auto_examples_plot_labels.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_packages_scikit-image_auto_examples_plot_labels.py:


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.




.. image:: /packages/scikit-image/auto_examples/images/sphx_glr_plot_labels_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    from skimage import measure
    from skimage import 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(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='nipy_spectral')
    plt.axis('off')
    plt.subplot(133)
    plt.imshow(blobs_labels, cmap='nipy_spectral')
    plt.axis('off')

    plt.tight_layout()
    plt.show()

**Total running time of the script:** ( 0 minutes  0.092 seconds)


.. _sphx_glr_download_packages_scikit-image_auto_examples_plot_labels.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_labels.py <plot_labels.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_labels.ipynb <plot_labels.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_