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

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

.. _sphx_glr_advanced_image_processing_auto_examples_plot_find_object.py:


Find the bounding box of an object
===================================

This example shows how to extract the bounding box of the largest object





.. image:: /advanced/image_processing/auto_examples/images/sphx_glr_plot_find_object_001.png
    :class: sphx-glr-single-img





.. code-block:: python


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

    np.random.seed(1)
    n = 10
    l = 256
    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 = ndimage.gaussian_filter(im, sigma=l/(4.*n))

    mask = im > im.mean()

    label_im, nb_labels = ndimage.label(mask)

    # Find the largest connected component
    sizes = ndimage.sum(mask, label_im, range(nb_labels + 1))
    mask_size = sizes < 1000
    remove_pixel = mask_size[label_im]
    label_im[remove_pixel] = 0
    labels = np.unique(label_im)
    label_im = np.searchsorted(labels, label_im)

    # Now that we have only one connected component, extract it's bounding box
    slice_x, slice_y = ndimage.find_objects(label_im==4)[0]
    roi = im[slice_x, slice_y]

    plt.figure(figsize=(4, 2))
    plt.axes([0, 0, 1, 1])
    plt.imshow(roi)
    plt.axis('off')

    plt.show()

**Total running time of the script:** ( 0 minutes  0.018 seconds)


.. _sphx_glr_download_advanced_image_processing_auto_examples_plot_find_object.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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