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

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

.. _sphx_glr_packages_scikit-image_auto_examples_plot_features.py:


Affine transform
=================

Warping and affine transforms of images.




.. image:: /packages/scikit-image/auto_examples/images/sphx_glr_plot_features_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    from matplotlib import pyplot as plt

    from skimage import data
    from skimage.feature import corner_harris, corner_subpix, corner_peaks
    from skimage.transform import warp, AffineTransform


    tform = AffineTransform(scale=(1.3, 1.1), rotation=1, shear=0.7,
                            translation=(210, 50))
    image = warp(data.checkerboard(), tform.inverse, output_shape=(350, 350))

    coords = corner_peaks(corner_harris(image), min_distance=5)
    coords_subpix = corner_subpix(image, coords, window_size=13)

    plt.gray()
    plt.imshow(image, interpolation='nearest')
    plt.plot(coords_subpix[:, 1], coords_subpix[:, 0], '+r', markersize=15, mew=5)
    plt.plot(coords[:, 1], coords[:, 0], '.b', markersize=7)
    plt.axis('off')
    plt.show()

**Total running time of the script:** ( 0 minutes  0.055 seconds)


.. _sphx_glr_download_packages_scikit-image_auto_examples_plot_features.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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