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

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

.. _sphx_glr_packages_scikit-image_auto_examples_plot_boundaries.py:


Segmentation contours
=====================

Visualize segmentation contours on original grayscale image.




.. image:: /packages/scikit-image/auto_examples/images/sphx_glr_plot_boundaries_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    from skimage import data, segmentation
    from skimage import filters
    import matplotlib.pyplot as plt
    import numpy as np

    coins = data.coins()
    mask = coins > filters.threshold_otsu(coins)
    clean_border = segmentation.clear_border(mask).astype(np.int)

    coins_edges = segmentation.mark_boundaries(coins, clean_border)

    plt.figure(figsize=(8, 3.5))
    plt.subplot(121)
    plt.imshow(clean_border, cmap='gray')
    plt.axis('off')
    plt.subplot(122)
    plt.imshow(coins_edges)
    plt.axis('off')

    plt.tight_layout()
    plt.show()

**Total running time of the script:** ( 0 minutes  0.083 seconds)


.. _sphx_glr_download_packages_scikit-image_auto_examples_plot_boundaries.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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