.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/edges/plot_polygon.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_edges_plot_polygon.py>`
        to download the full example code or to run this example in your browser via Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_edges_plot_polygon.py:


==================================
Approximate and subdivide polygons
==================================

This example shows how to approximate (Douglas-Peucker algorithm) and subdivide
(B-Splines) polygonal chains.

.. GENERATED FROM PYTHON SOURCE LINES 10-83



.. image-sg:: /auto_examples/edges/images/sphx_glr_plot_polygon_001.png
   :alt: plot polygon
   :srcset: /auto_examples/edges/images/sphx_glr_plot_polygon_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    Number of coordinates: 22 704 26
    Number of coordinates: 1173 32 9
    Number of coordinates: 701 21 5






|

.. code-block:: Python


    import numpy as np
    import matplotlib.pyplot as plt

    from skimage.draw import ellipse
    from skimage.measure import find_contours, approximate_polygon, subdivide_polygon


    hand = np.array(
        [
            [1.64516129, 1.16145833],
            [1.64516129, 1.59375],
            [1.35080645, 1.921875],
            [1.375, 2.18229167],
            [1.68548387, 1.9375],
            [1.60887097, 2.55208333],
            [1.68548387, 2.69791667],
            [1.76209677, 2.56770833],
            [1.83064516, 1.97395833],
            [1.89516129, 2.75],
            [1.9516129, 2.84895833],
            [2.01209677, 2.76041667],
            [1.99193548, 1.99479167],
            [2.11290323, 2.63020833],
            [2.2016129, 2.734375],
            [2.25403226, 2.60416667],
            [2.14919355, 1.953125],
            [2.30645161, 2.36979167],
            [2.39112903, 2.36979167],
            [2.41532258, 2.1875],
            [2.1733871, 1.703125],
            [2.07782258, 1.16666667],
        ]
    )

    # subdivide polygon using 2nd degree B-Splines
    new_hand = hand.copy()
    for _ in range(5):
        new_hand = subdivide_polygon(new_hand, degree=2, preserve_ends=True)

    # approximate subdivided polygon with Douglas-Peucker algorithm
    appr_hand = approximate_polygon(new_hand, tolerance=0.02)

    print("Number of coordinates:", len(hand), len(new_hand), len(appr_hand))

    fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(9, 4))

    ax1.plot(hand[:, 0], hand[:, 1])
    ax1.plot(new_hand[:, 0], new_hand[:, 1])
    ax1.plot(appr_hand[:, 0], appr_hand[:, 1])


    # create two ellipses in image
    img = np.zeros((800, 800), 'int32')
    rr, cc = ellipse(250, 250, 180, 230, img.shape)
    img[rr, cc] = 1
    rr, cc = ellipse(600, 600, 150, 90, img.shape)
    img[rr, cc] = 1

    plt.gray()
    ax2.imshow(img)

    # approximate / simplify coordinates of the two ellipses
    for contour in find_contours(img, 0):
        coords = approximate_polygon(contour, tolerance=2.5)
        ax2.plot(coords[:, 1], coords[:, 0], '-r', linewidth=2)
        coords2 = approximate_polygon(contour, tolerance=39.5)
        ax2.plot(coords2[:, 1], coords2[:, 0], '-g', linewidth=2)
        print("Number of coordinates:", len(contour), len(coords), len(coords2))

    ax2.axis((0, 800, 0, 800))

    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.317 seconds)


.. _sphx_glr_download_auto_examples_edges_plot_polygon.py:

.. only:: html

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

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/scikit-image/scikit-image/v0.23.2?filepath=notebooks/auto_examples/edges/plot_polygon.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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

    .. container:: sphx-glr-download sphx-glr-download-python

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


.. only:: html

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

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