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

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

.. _sphx_glr_advanced_image_processing_auto_examples_plot_radial_mean.py:


Radial mean
============

This example shows how to do a radial mean with scikit-image.




.. image:: /advanced/image_processing/auto_examples/images/sphx_glr_plot_radial_mean_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    import numpy as np
    import scipy
    from scipy import ndimage
    import matplotlib.pyplot as plt

    f = scipy.misc.face(gray=True)
    sx, sy = f.shape
    X, Y = np.ogrid[0:sx, 0:sy]


    r = np.hypot(X - sx/2, Y - sy/2)

    rbin = (20* r/r.max()).astype(np.int)
    radial_mean = ndimage.mean(f, labels=rbin, index=np.arange(1, rbin.max() +1))

    plt.figure(figsize=(5, 5))
    plt.axes([0, 0, 1, 1])
    plt.imshow(rbin, cmap=plt.cm.nipy_spectral)
    plt.axis('off')

    plt.show()

**Total running time of the script:** ( 0 minutes  0.213 seconds)


.. _sphx_glr_download_advanced_image_processing_auto_examples_plot_radial_mean.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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